SlideShare une entreprise Scribd logo
1  sur  5
Télécharger pour lire hors ligne
Léandre Nneme et al Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 4, Issue 3( Version 1), March 2014, pp.106-110
www.ijera.com 106 | P a g e
A Novel Electronic Instrument for the Analog Direct Synthesis of
Arbitrary Waveforms and Wavelets
Léandre Nneme Nneme*, Jean Mbihi**, Marcelus Zilefac Benazea ***, And
Peter Akwo Tsam****
* (EEAT Research Laboratory, Douala University, BP 1872 Douala, Cameroon)
** (EEAT Research Laboratory, Douala University, BP 1872 Douala, Cameroon)
*** (Department of Electrical engineering, ENSET, Douala University, BP 1872 Douala, Cameroon)
**** (Department of Electrical engineering, ENSET, Douala University, BP 1872 Douala, Cameroon)
ABSTRACT
The electronic instrument studied in this paper is a novel model of arbitrary waveform and wavelet generator.
Unlike most programmable instruments designed for the same purpose with high complexity and great cost
unfortunately, the proposed testing instrument is founded on a direct synthesis of arbitrary waveform signals
including wavelets, from a basis of elementary analog signals. A novel arbitrary signal generation scheme is
presented and well tested using virtual simulation and experimentation. Then, the predicted and experimental
results obtained under a wide variety of testing conditions are presented, in order to show the great challenge
of building a cheaper and high quality workbench for arbitrary signal generators.
Keywords – Electronic instrument, arbitrary waveforms, wavelets, virtual simulation, workbench.
I. INTRODUCTION
An arbitrary waveform generator (AWG) is
an electronic test instrument, used to generate
complex signals of any shape over a wide range of
frequencies. Nowadays, most professionals AWGs
encountered in industrial electronics engineering, are
very expensive PC-based instruments. A few
existing cheaper custom models are built as
microcontroller-based systems for educational
needs, at the expend of low performance and
capabilities [1]-[3]. In all cases, the design technique
of available AWGs is founded on the digital direct
synthesis of arbitrary signals, to be converted into
analog output using a digital-to-analog converter
(DAC). As a result, the quality of the analog output
wave is limited by a variety of factors due to digital-
to-analog conversion constraints (conversion
technique, main clock source, resolution, signal
bandwidth, signal-to-noise ratio, sampling frequency
and more).
Thus, the merit of this paper is to resort to
the new principle of analog direct synthesis of
arbitrary waveforms, in order to overcome
drawbacks associated with commonly used digital
synthesis techniques for the generation of arbitrary
waveforms. The feasibility of this new principle is
motivated by the realistic nature of a basic technique
proposed in [4] as a low-cost multichannel interface
for single oscilloscopes. However, the great
challenge of this paper emerges from the
development of new building principles and
electronic schemes, with straightforward applications
to the creation of novel analog AWG families.
The remaining Sections of the paper are
organized as follows: In Section II, the principle of
analog direct synthesis of arbitrary waves and
wavelets is outlined, followed in Section III by the
virtual simulation of a prototyping instrument.
Furthermore, a complete custom instrument built is
tested in Section IV using an instrumentation
workbench and the experimental results obtained are
presented. Finally, Section V deals with the
conclusion in which of a few findings and related
future research opportunities are outlined.
II. PRINCIPLE OF ANALOG DIRECT
SYNTHESIS OF ARBITRARY WAVES
Let consider discrete times t0, t1 = t0 +T, …,
tk = t0 + k T, tk+1 = t0 + (k+1) T, …, and a set of N =
2m
basic analog signals {X0(t), X0(t), …, XN-1(t)},
where T is the clock period, and m being a given
positive integer. Controlled offset values Yk might
be associated to each Xk(t) if any. Then, the analog
direct synthesis of arbitrary waves from the basis
{X0(t) + Y0, X1(t)+ Y1, …, XN-1 (t) + YN-1 }, is
modeled in this paper as follows:
𝑊 𝑡 = 𝑋 𝑘 𝑡 + 𝑌𝑘 (1)
if k T ≤ t < (k+1) T (2)
or equivalently,
 



1
0
))1(()())(()(
N
k
kk TktukTtuYtXtW (3)
RESEARCH ARTICLE OPEN ACCESS
Léandre Nneme et al Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 4, Issue 3( Version 1), March 2014, pp.106-110
www.ijera.com 107 | P a g e
where u(.) stands for Heaviside step function, and k
= 0, 1, 2, …, N-1 = 2m
-1. Two important Theorems
for remaining of this paper could be outlined from
Equation (3).
Theorem 1: There exists a wave family W(t) in
Equation (3), which behaves as a virtual
simultaneous sampling process of {Xk(t)} for k = 0,
1, …, N-1.
The proof of that Theorem 1 relies on the
limiting properties of a pulse width function with
finite amplitude encountered in the distribution
theory [5]. As an implication, if T  0, Equation (3)
could be written as follows:
  
    
  )()(
))1(()(lim)(
))1(()()(lim)(
1
0
1
0
0
1
0
0




















N
k
kk
N
k
T
kk
N
k
kk
T
kTtYtX
TktukTtuYtX
TktukTtuYtXtW

(4)
Structurally speaking, Equation (4) is similar to the
sampling model of analog signals encountered in
signal processing [6]. Here, W(t) could be displayed
on the screen of a single channel oscilloscope, as
virtual multiple signals.
Theorem 2 : A variety of wavelets falls within the
wave families W(t) defined by Equation (3).
The proof of Theorem 2 is straightforward,
since if the first p and the last q inputs signals can
be set to zero over time, then the sequential
cumulative effect of the remaining active inputs will
produce an arbitrary wavelet given by:
 



qN
pk
k TktukTtutXtW
1
))1(()()()( (5)
Thus, Equation (3) is a generalized model of
the analog synthesis conditions of W (t) from the
analog basis {X0(t), X1(t),…, XN-1(t)}. As an
implication, the principle of the analog synthesis of
arbitrary waves initiated in this paper could be
implemented as shown in Fig. 1, where the synoptic
diagram of a the proposed analog AWG is
illustrated. It consists of: 1) a clock with time period
T; 2) a m-bit counter allowing a maximum of N =
2m
discrete states; 3) two dual N/1 analog
multiplexers for the simultaneous selection of both
analog inputs X(t) and Y(t) to be processed; 4) a
summing amplifier with arbitrary output wave
W(t) according to the analog synthesis algorithm
given by Equation (3).
The analog input basis {X0(t), X1(t), …, XN-
1(t)}, can be generated with great ease using a simple
analog integrated signal generator ICL 8038, since it
might provide multiple outputs signals with different
shapes (sine, square, triangle, and step).
Fig. 1 : Synoptic diagram of the proposed analog
AWG.
III. VIRTUAL SIMULATION OF A
PROTOTYPING INSTRUMENT
A prototyping AWG is implemented and
simulated using Proteus software. As shown in Fig. 2,
the main modules of the prototyping instrument
implemented under Proteus software, consist of N = 4
analog inputs with corresponding analog shift values,
and the following analog integrated circuits: a)
CD4047 (clock); b) CD4018 (counter); d) CD4052
(Dual 4/1 multiplexer); e) LM318 (Audio operational
amplifier).
Léandre Nneme et al Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 4, Issue 3( Version 1), March 2014, pp.106-110
www.ijera.com 108 | P a g e
Fig. 2: Main modules of a prototyping instrument
implemented under Proteus software.
A sample of virtual simulation results
obtained under analog input signals with identical
frequencies and independent amplitudes are
illustrated in Figure 3, whereas all related shift values
are set to zero without lost of generality. As
predicted earlier by equation (1), the graph of the
arbitrary wave W(t) shows that, it is synthesized
over time from a serialization of ordered segments of
waves Xk(t), where k = 0, 1, 2, 3, 0, 1, 2, 3, 0, 1,
… In addition, the case of analog inputs with
identical amplitudes and independent frequencies are
shown in Figure 4. Even in this case, the principle of
analog direct synthesis of arbitrary waves also holds.
The ranges of input frequencies used are 50.
In both cases, the graph of the resulting
arbitrary signal is quite continuous since none of the
analog inputs is identically zero over time.
Fig. 3 : Simulation results for independent input
amplitudes.
Fig. 4 : Simulation results for independent input
frequencies.
Léandre Nneme et al Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 4, Issue 3( Version 1), March 2014, pp.106-110
www.ijera.com 109 | P a g e
Fig. 5 : A sample of wavelets with arbitrary shapes
obtained under virtual simulation.
Furthermore, Figure 5 presents a summary
of additional simulation results obtained under a
variety of special operating conditions. Clearly
speaking, the first important finding emerging from
these results is that, under the principle of analog
direct synthesis of arbitrary waves, complex wavelet
families with arbitrary shapes could be generated
with great ease as predicted earlier in Theorem 2. The
second important finding arising here is that, when
maintain over time first and last signals (for example
X0(t) and XN-1(t)) to zero, then for a suitable choice
of the parameters (amplitude and frequency) of the
remaining intermediary signals, it might be possible
to create standards wavelet shapes such as Mexican
hat type, Mayer wavelet and more). However, this
paper deals with the analog of arbitrary wave and
wavelets.
IV. EXPERIMENTAL WORKBENCH
A view of the experimental instrumentation
setup built in order test a prototyping AWG model is
presented in Figure 6. It consists of single channel
and low frequency signal generator
Fig. 6: Instrumentation workbench of the prototyping
AWG.
(LF - PM510), a prototyping model of the
proposed AWG (realized as a standalone instrument
with 4 analog input channels with associated shifting
Léandre Nneme et al Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 4, Issue 3( Version 1), March 2014, pp.106-110
www.ijera.com 110 | P a g e
thresholds), and a single channel analog oscilloscope
(HAMEG HM312) used for the measurement of
AWG signals produced under analog inputs.
The instrumentation workbench presented to
test the new AWG studied in this paper, has a few
technical limitations due only to the low performance
and capabilities of both LF generator signal and
testing oscilloscope. The best required testing
instruments for a more suitable workbench should
use a multichannel signal generator with independent
outputs, and a single channel oscilloscope with a
sufficiently wide bandwidth, in order to facilitate
the realization of more attractive tests. Figure 7
shows a few typical results obtained when testing the
new prototyping AWG instrument under conditions
of Theorems 1 and 2. The active input channels are
supplied from the same AC signal source (a single LF
generator), whereas corresponding offset components
are set to different values if any.
Fig. 7: Experimental results obtained under
conditions of Theorems 1and 2.
In Figure 7(a), while X2(t) and X3(t) are set
off, the result displayed viewed on the screen of the
single channel oscilloscope, shows the realistic nature
of Theorem 1with application in this case to the
virtual simultaneous sampling process of two
active inputs channels X0(t) and X1(t).
Furthermore, the result presented in Figure
7(b), shows a wave synthesized from identical input
channels X0(t), and X1(t), X2(t) and X3(t). In this
case, the clock frequency 1/T is four times compared
to that of identical input signals. The whole
simulation and experimental results presented, show
the realistic nature of the analog direct synthesis of
arbitrary waves and wavelets families initiated in this
paper.
V. CONCLUSION
The new approach of analog direct
synthesis of arbitrary waves and wavelets, is
validated in this paper, using a mix of analytical
reasoning, virtual simulation, and experimentation
on a well tested prototyping model. However, most
arbitrary waves and wavelets generated and presented
in this paper according to the analog synthesis
principle have complex shapes compared to that of
commonly used cases encountered in electronic and
communication engineering (i.e. Mayer, Morlet,
Mexican hat, and more). Thus, it will be a challenge
to produce these standard shapes from the proposed
analog synthesis approach. This remark is a good
opportunity for further researches.
REFERENCES
[1] N. Gupta, P. Sediwal, and P. Pandey, Low-
Cost Arbitrary Waveform Generator for
Educational Environment Using ARM7,
International Journal of Engineering
Research and Applications, 3(6), Nov-Dec
2013, pp. 951-956.
[2] J. Mbihi, N. TENE, et K. Takoufet,
Etude et prototypage d’un générateur de
signaux arbitraires à vocation didactique,
Journal sur l'Enseignement des Sciences et
des Technologies de l'Information et des
Systèmes, 9(3), 2010, pp. 01-06.
[3] J. Mbihi and A. Motto, Générateurs virtuels
de signaux arbitraires, chap. 10 in
Informatique industrielle: Instrumentation
virtuelle assistée par ordinateur - Principes
et techniques, cours et exercices
corrigés(Paris, © Ellipses, 2012), pp. 132-
155.
[4] D. Danyuk, and G. Pilko, Four channels on a
single-channel oscilloscope, Electronics
World and wireless world, January 1992, p.
58.
[5] H. Reinhard, Eléments de mathématiques
du signal – Tome 1, Signaux déterministes
(Paris, © Dunod, 1997) , 223 pages.
[6] A. Deluzurieux, M. Rami, and M. Rami,
chap. 1 in Cours d’électronique numérique
et échantillonnage – BTS, UIT et école
d’ingénieurs (Paris, © Eyrolles, 1991), pp.
01-30.

Contenu connexe

Tendances

A Novel Algorithm to Estimate Closely Spaced Source DOA
A Novel Algorithm to Estimate Closely Spaced Source DOA  A Novel Algorithm to Estimate Closely Spaced Source DOA
A Novel Algorithm to Estimate Closely Spaced Source DOA IJECEIAES
 
Adaptive Noise Cancellation using Multirate Techniques
Adaptive Noise Cancellation using Multirate TechniquesAdaptive Noise Cancellation using Multirate Techniques
Adaptive Noise Cancellation using Multirate TechniquesIJERD Editor
 
Signal & systems
Signal & systemsSignal & systems
Signal & systemsAJAL A J
 
Signal Prosessing Lab Mannual
Signal Prosessing Lab Mannual Signal Prosessing Lab Mannual
Signal Prosessing Lab Mannual Jitendra Jangid
 
The method of comparing two audio files
The method of comparing two audio filesThe method of comparing two audio files
The method of comparing two audio filesMinh Anh Nguyen
 
Aliasing and Antialiasing filter
Aliasing and Antialiasing filterAliasing and Antialiasing filter
Aliasing and Antialiasing filterSuresh Mohta
 
Real-time Implementation of Sphere Decoder-based MIMO Wireless System (EUSIPC...
Real-time Implementation of Sphere Decoder-based MIMO Wireless System (EUSIPC...Real-time Implementation of Sphere Decoder-based MIMO Wireless System (EUSIPC...
Real-time Implementation of Sphere Decoder-based MIMO Wireless System (EUSIPC...TSC University of Mondragon
 
Recovery of low frequency Signals from noisy data using Ensembled Empirical M...
Recovery of low frequency Signals from noisy data using Ensembled Empirical M...Recovery of low frequency Signals from noisy data using Ensembled Empirical M...
Recovery of low frequency Signals from noisy data using Ensembled Empirical M...inventionjournals
 
Digital Signal Processing Lab Manual ECE students
Digital Signal Processing Lab Manual ECE studentsDigital Signal Processing Lab Manual ECE students
Digital Signal Processing Lab Manual ECE studentsUR11EC098
 
Signal classification of signal
Signal classification of signalSignal classification of signal
Signal classification of signal001Abhishek1
 
Frequency domain behavior of S-parameters piecewise-linear fitting in a digit...
Frequency domain behavior of S-parameters piecewise-linear fitting in a digit...Frequency domain behavior of S-parameters piecewise-linear fitting in a digit...
Frequency domain behavior of S-parameters piecewise-linear fitting in a digit...Piero Belforte
 
Digital Signal Processing[ECEG-3171]-Ch1_L07
Digital Signal Processing[ECEG-3171]-Ch1_L07Digital Signal Processing[ECEG-3171]-Ch1_L07
Digital Signal Processing[ECEG-3171]-Ch1_L07Rediet Moges
 
DSP Lab Manual (10ECL57) - VTU Syllabus (KSSEM)
DSP Lab Manual (10ECL57) - VTU Syllabus (KSSEM)DSP Lab Manual (10ECL57) - VTU Syllabus (KSSEM)
DSP Lab Manual (10ECL57) - VTU Syllabus (KSSEM)Ravikiran A
 

Tendances (20)

A Novel Algorithm to Estimate Closely Spaced Source DOA
A Novel Algorithm to Estimate Closely Spaced Source DOA  A Novel Algorithm to Estimate Closely Spaced Source DOA
A Novel Algorithm to Estimate Closely Spaced Source DOA
 
signal and system
signal and system signal and system
signal and system
 
Adaptive Noise Cancellation using Multirate Techniques
Adaptive Noise Cancellation using Multirate TechniquesAdaptive Noise Cancellation using Multirate Techniques
Adaptive Noise Cancellation using Multirate Techniques
 
Dsp manual print
Dsp manual printDsp manual print
Dsp manual print
 
Signal & systems
Signal & systemsSignal & systems
Signal & systems
 
Signal Prosessing Lab Mannual
Signal Prosessing Lab Mannual Signal Prosessing Lab Mannual
Signal Prosessing Lab Mannual
 
signals
signalssignals
signals
 
The method of comparing two audio files
The method of comparing two audio filesThe method of comparing two audio files
The method of comparing two audio files
 
Aliasing and Antialiasing filter
Aliasing and Antialiasing filterAliasing and Antialiasing filter
Aliasing and Antialiasing filter
 
Real-time Implementation of Sphere Decoder-based MIMO Wireless System (EUSIPC...
Real-time Implementation of Sphere Decoder-based MIMO Wireless System (EUSIPC...Real-time Implementation of Sphere Decoder-based MIMO Wireless System (EUSIPC...
Real-time Implementation of Sphere Decoder-based MIMO Wireless System (EUSIPC...
 
Recovery of low frequency Signals from noisy data using Ensembled Empirical M...
Recovery of low frequency Signals from noisy data using Ensembled Empirical M...Recovery of low frequency Signals from noisy data using Ensembled Empirical M...
Recovery of low frequency Signals from noisy data using Ensembled Empirical M...
 
Digital Signal Processing Lab Manual ECE students
Digital Signal Processing Lab Manual ECE studentsDigital Signal Processing Lab Manual ECE students
Digital Signal Processing Lab Manual ECE students
 
Digital signal System
Digital signal SystemDigital signal System
Digital signal System
 
Signal classification of signal
Signal classification of signalSignal classification of signal
Signal classification of signal
 
Frequency domain behavior of S-parameters piecewise-linear fitting in a digit...
Frequency domain behavior of S-parameters piecewise-linear fitting in a digit...Frequency domain behavior of S-parameters piecewise-linear fitting in a digit...
Frequency domain behavior of S-parameters piecewise-linear fitting in a digit...
 
Digital Signal Processing[ECEG-3171]-Ch1_L07
Digital Signal Processing[ECEG-3171]-Ch1_L07Digital Signal Processing[ECEG-3171]-Ch1_L07
Digital Signal Processing[ECEG-3171]-Ch1_L07
 
DSP Lab Manual (10ECL57) - VTU Syllabus (KSSEM)
DSP Lab Manual (10ECL57) - VTU Syllabus (KSSEM)DSP Lab Manual (10ECL57) - VTU Syllabus (KSSEM)
DSP Lab Manual (10ECL57) - VTU Syllabus (KSSEM)
 
Digital Communication Unit 1
Digital Communication Unit 1Digital Communication Unit 1
Digital Communication Unit 1
 
Dcp project
Dcp projectDcp project
Dcp project
 
Signals & systems
Signals & systems Signals & systems
Signals & systems
 

En vedette

Social Sensor for Real Time Event Detection
Social Sensor for Real Time Event DetectionSocial Sensor for Real Time Event Detection
Social Sensor for Real Time Event DetectionIJERA Editor
 
Synchronizing Parallel Tasks Using STM
Synchronizing Parallel Tasks Using STMSynchronizing Parallel Tasks Using STM
Synchronizing Parallel Tasks Using STMIJERA Editor
 
Discretizing of linear systems with time-delay Using method of Euler’s and Tu...
Discretizing of linear systems with time-delay Using method of Euler’s and Tu...Discretizing of linear systems with time-delay Using method of Euler’s and Tu...
Discretizing of linear systems with time-delay Using method of Euler’s and Tu...IJERA Editor
 
The Influence Of Infinite Impedance Flanges On The Electromagnetic Field Of A...
The Influence Of Infinite Impedance Flanges On The Electromagnetic Field Of A...The Influence Of Infinite Impedance Flanges On The Electromagnetic Field Of A...
The Influence Of Infinite Impedance Flanges On The Electromagnetic Field Of A...IJERA Editor
 
Statui neconventionale
Statui neconventionaleStatui neconventionale
Statui neconventionaleOvidiu Slimac
 
особенности работы зрительного анализатора инженера в сч
особенности работы зрительного анализатора инженера в счособенности работы зрительного анализатора инженера в сч
особенности работы зрительного анализатора инженера в счСНУЯЭиП
 
Politics is a delicate thing
Politics is a delicate thingPolitics is a delicate thing
Politics is a delicate thingOvidiu Slimac
 
Sfânta Fecioara Maria - de Guadalupe
Sfânta Fecioara Maria - de GuadalupeSfânta Fecioara Maria - de Guadalupe
Sfânta Fecioara Maria - de GuadalupeOvidiu Slimac
 
презентация оо жа о работе с молодежью
презентация оо жа о работе с молодежьюпрезентация оо жа о работе с молодежью
презентация оо жа о работе с молодежьюСНУЯЭиП
 
Stefan Popa - Popa's
Stefan Popa - Popa'sStefan Popa - Popa's
Stefan Popa - Popa'sOvidiu Slimac
 

En vedette (20)

Ec4301780790
Ec4301780790Ec4301780790
Ec4301780790
 
T4409103113
T4409103113T4409103113
T4409103113
 
Social Sensor for Real Time Event Detection
Social Sensor for Real Time Event DetectionSocial Sensor for Real Time Event Detection
Social Sensor for Real Time Event Detection
 
Synchronizing Parallel Tasks Using STM
Synchronizing Parallel Tasks Using STMSynchronizing Parallel Tasks Using STM
Synchronizing Parallel Tasks Using STM
 
Discretizing of linear systems with time-delay Using method of Euler’s and Tu...
Discretizing of linear systems with time-delay Using method of Euler’s and Tu...Discretizing of linear systems with time-delay Using method of Euler’s and Tu...
Discretizing of linear systems with time-delay Using method of Euler’s and Tu...
 
The Influence Of Infinite Impedance Flanges On The Electromagnetic Field Of A...
The Influence Of Infinite Impedance Flanges On The Electromagnetic Field Of A...The Influence Of Infinite Impedance Flanges On The Electromagnetic Field Of A...
The Influence Of Infinite Impedance Flanges On The Electromagnetic Field Of A...
 
G43064245
G43064245G43064245
G43064245
 
Ba044324330
Ba044324330Ba044324330
Ba044324330
 
Bi044369376
Bi044369376Bi044369376
Bi044369376
 
L0440285459
L0440285459L0440285459
L0440285459
 
Statui neconventionale
Statui neconventionaleStatui neconventionale
Statui neconventionale
 
X04404147151
X04404147151X04404147151
X04404147151
 
H43044145
H43044145H43044145
H43044145
 
особенности работы зрительного анализатора инженера в сч
особенности работы зрительного анализатора инженера в счособенности работы зрительного анализатора инженера в сч
особенности работы зрительного анализатора инженера в сч
 
Politics is a delicate thing
Politics is a delicate thingPolitics is a delicate thing
Politics is a delicate thing
 
C45020914
C45020914C45020914
C45020914
 
Sfânta Fecioara Maria - de Guadalupe
Sfânta Fecioara Maria - de GuadalupeSfânta Fecioara Maria - de Guadalupe
Sfânta Fecioara Maria - de Guadalupe
 
презентация оо жа о работе с молодежью
презентация оо жа о работе с молодежьюпрезентация оо жа о работе с молодежью
презентация оо жа о работе с молодежью
 
Fotografii vechi
Fotografii vechiFotografii vechi
Fotografii vechi
 
Stefan Popa - Popa's
Stefan Popa - Popa'sStefan Popa - Popa's
Stefan Popa - Popa's
 

Similaire à U4301106110

Shunt Faults Detection on Transmission Line by Wavelet
Shunt Faults Detection on Transmission Line by WaveletShunt Faults Detection on Transmission Line by Wavelet
Shunt Faults Detection on Transmission Line by Waveletpaperpublications3
 
An ultra wideband antenna for Ku band applications
An ultra wideband antenna for Ku band applicationsAn ultra wideband antenna for Ku band applications
An ultra wideband antenna for Ku band applicationsIJECEIAES
 
IRJET- Artificial Neural Network Algorithm for Acoustic Echo Cancellation App...
IRJET- Artificial Neural Network Algorithm for Acoustic Echo Cancellation App...IRJET- Artificial Neural Network Algorithm for Acoustic Echo Cancellation App...
IRJET- Artificial Neural Network Algorithm for Acoustic Echo Cancellation App...IRJET Journal
 
5. CNTFET-based design of ternary.pdf
5. CNTFET-based design of ternary.pdf5. CNTFET-based design of ternary.pdf
5. CNTFET-based design of ternary.pdfRaghu Vamsi
 
Hopfield neural network based selective harmonic elimination for h bridge
Hopfield neural network based selective harmonic elimination for h bridgeHopfield neural network based selective harmonic elimination for h bridge
Hopfield neural network based selective harmonic elimination for h bridgeIAEME Publication
 
Development of Improved Diode Clamped Multilevel Inverter Using Optimized Sel...
Development of Improved Diode Clamped Multilevel Inverter Using Optimized Sel...Development of Improved Diode Clamped Multilevel Inverter Using Optimized Sel...
Development of Improved Diode Clamped Multilevel Inverter Using Optimized Sel...eeiej_journal
 
Design and Optimization a Circular Shape Network Antenna Micro Strip for Some...
Design and Optimization a Circular Shape Network Antenna Micro Strip for Some...Design and Optimization a Circular Shape Network Antenna Micro Strip for Some...
Design and Optimization a Circular Shape Network Antenna Micro Strip for Some...AIRCC Publishing Corporation
 
Design and Optimization a Circular Shape Network Antenna Micro Strip for Some...
Design and Optimization a Circular Shape Network Antenna Micro Strip for Some...Design and Optimization a Circular Shape Network Antenna Micro Strip for Some...
Design and Optimization a Circular Shape Network Antenna Micro Strip for Some...AIRCC Publishing Corporation
 
DESIGN AND OPTIMIZATION A CIRCULAR SHAPE NETWORK ANTENNA MICRO STRIP FOR SOME...
DESIGN AND OPTIMIZATION A CIRCULAR SHAPE NETWORK ANTENNA MICRO STRIP FOR SOME...DESIGN AND OPTIMIZATION A CIRCULAR SHAPE NETWORK ANTENNA MICRO STRIP FOR SOME...
DESIGN AND OPTIMIZATION A CIRCULAR SHAPE NETWORK ANTENNA MICRO STRIP FOR SOME...ijcseit
 
Voltage variations identification using Gabor Transform and rule-based classi...
Voltage variations identification using Gabor Transform and rule-based classi...Voltage variations identification using Gabor Transform and rule-based classi...
Voltage variations identification using Gabor Transform and rule-based classi...IJECEIAES
 
Using Wavelet Transform to Disaggregate Electrical Power Consumption into the...
Using Wavelet Transform to Disaggregate Electrical Power Consumption into the...Using Wavelet Transform to Disaggregate Electrical Power Consumption into the...
Using Wavelet Transform to Disaggregate Electrical Power Consumption into the...Francisco (Paco) Florez-Revuelta
 
Using petri net with inherent fuzzy in the recognition of ecg signals
Using petri net with inherent fuzzy in the recognition of ecg signalsUsing petri net with inherent fuzzy in the recognition of ecg signals
Using petri net with inherent fuzzy in the recognition of ecg signalsIAEME Publication
 
Time alignment techniques for experimental sensor data
Time alignment techniques for experimental sensor dataTime alignment techniques for experimental sensor data
Time alignment techniques for experimental sensor dataIJCSES Journal
 
BER Performance of MU-MIMO System using Dirty Paper Coding
BER Performance of MU-MIMO System using Dirty Paper CodingBER Performance of MU-MIMO System using Dirty Paper Coding
BER Performance of MU-MIMO System using Dirty Paper CodingIJEEE
 
Lab view Based Harmonic Analyser
Lab view Based Harmonic AnalyserLab view Based Harmonic Analyser
Lab view Based Harmonic Analysertheijes
 
Degradation of ICI in OFDM Communication System by Analyzing I/Q Imbalance an...
Degradation of ICI in OFDM Communication System by Analyzing I/Q Imbalance an...Degradation of ICI in OFDM Communication System by Analyzing I/Q Imbalance an...
Degradation of ICI in OFDM Communication System by Analyzing I/Q Imbalance an...IRJET Journal
 
Pilot induced cyclostationarity based method for dvb system identification
Pilot induced cyclostationarity based method for dvb system identificationPilot induced cyclostationarity based method for dvb system identification
Pilot induced cyclostationarity based method for dvb system identificationiaemedu
 

Similaire à U4301106110 (20)

Shunt Faults Detection on Transmission Line by Wavelet
Shunt Faults Detection on Transmission Line by WaveletShunt Faults Detection on Transmission Line by Wavelet
Shunt Faults Detection on Transmission Line by Wavelet
 
An ultra wideband antenna for Ku band applications
An ultra wideband antenna for Ku band applicationsAn ultra wideband antenna for Ku band applications
An ultra wideband antenna for Ku band applications
 
IRJET- Artificial Neural Network Algorithm for Acoustic Echo Cancellation App...
IRJET- Artificial Neural Network Algorithm for Acoustic Echo Cancellation App...IRJET- Artificial Neural Network Algorithm for Acoustic Echo Cancellation App...
IRJET- Artificial Neural Network Algorithm for Acoustic Echo Cancellation App...
 
5. CNTFET-based design of ternary.pdf
5. CNTFET-based design of ternary.pdf5. CNTFET-based design of ternary.pdf
5. CNTFET-based design of ternary.pdf
 
Hopfield neural network based selective harmonic elimination for h bridge
Hopfield neural network based selective harmonic elimination for h bridgeHopfield neural network based selective harmonic elimination for h bridge
Hopfield neural network based selective harmonic elimination for h bridge
 
Development of Improved Diode Clamped Multilevel Inverter Using Optimized Sel...
Development of Improved Diode Clamped Multilevel Inverter Using Optimized Sel...Development of Improved Diode Clamped Multilevel Inverter Using Optimized Sel...
Development of Improved Diode Clamped Multilevel Inverter Using Optimized Sel...
 
Design and Optimization a Circular Shape Network Antenna Micro Strip for Some...
Design and Optimization a Circular Shape Network Antenna Micro Strip for Some...Design and Optimization a Circular Shape Network Antenna Micro Strip for Some...
Design and Optimization a Circular Shape Network Antenna Micro Strip for Some...
 
Design and Optimization a Circular Shape Network Antenna Micro Strip for Some...
Design and Optimization a Circular Shape Network Antenna Micro Strip for Some...Design and Optimization a Circular Shape Network Antenna Micro Strip for Some...
Design and Optimization a Circular Shape Network Antenna Micro Strip for Some...
 
DESIGN AND OPTIMIZATION A CIRCULAR SHAPE NETWORK ANTENNA MICRO STRIP FOR SOME...
DESIGN AND OPTIMIZATION A CIRCULAR SHAPE NETWORK ANTENNA MICRO STRIP FOR SOME...DESIGN AND OPTIMIZATION A CIRCULAR SHAPE NETWORK ANTENNA MICRO STRIP FOR SOME...
DESIGN AND OPTIMIZATION A CIRCULAR SHAPE NETWORK ANTENNA MICRO STRIP FOR SOME...
 
Voltage variations identification using Gabor Transform and rule-based classi...
Voltage variations identification using Gabor Transform and rule-based classi...Voltage variations identification using Gabor Transform and rule-based classi...
Voltage variations identification using Gabor Transform and rule-based classi...
 
Using Wavelet Transform to Disaggregate Electrical Power Consumption into the...
Using Wavelet Transform to Disaggregate Electrical Power Consumption into the...Using Wavelet Transform to Disaggregate Electrical Power Consumption into the...
Using Wavelet Transform to Disaggregate Electrical Power Consumption into the...
 
F41043841
F41043841F41043841
F41043841
 
Using petri net with inherent fuzzy in the recognition of ecg signals
Using petri net with inherent fuzzy in the recognition of ecg signalsUsing petri net with inherent fuzzy in the recognition of ecg signals
Using petri net with inherent fuzzy in the recognition of ecg signals
 
Time alignment techniques for experimental sensor data
Time alignment techniques for experimental sensor dataTime alignment techniques for experimental sensor data
Time alignment techniques for experimental sensor data
 
Fo3610221025
Fo3610221025Fo3610221025
Fo3610221025
 
BER Performance of MU-MIMO System using Dirty Paper Coding
BER Performance of MU-MIMO System using Dirty Paper CodingBER Performance of MU-MIMO System using Dirty Paper Coding
BER Performance of MU-MIMO System using Dirty Paper Coding
 
Lab view Based Harmonic Analyser
Lab view Based Harmonic AnalyserLab view Based Harmonic Analyser
Lab view Based Harmonic Analyser
 
H44093641
H44093641H44093641
H44093641
 
Degradation of ICI in OFDM Communication System by Analyzing I/Q Imbalance an...
Degradation of ICI in OFDM Communication System by Analyzing I/Q Imbalance an...Degradation of ICI in OFDM Communication System by Analyzing I/Q Imbalance an...
Degradation of ICI in OFDM Communication System by Analyzing I/Q Imbalance an...
 
Pilot induced cyclostationarity based method for dvb system identification
Pilot induced cyclostationarity based method for dvb system identificationPilot induced cyclostationarity based method for dvb system identification
Pilot induced cyclostationarity based method for dvb system identification
 

Dernier

Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024The Digital Insurer
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdfhans926745
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...apidays
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024The Digital Insurer
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherRemote DBA Services
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century educationjfdjdjcjdnsjd
 
HTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation StrategiesHTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation StrategiesBoston Institute of Analytics
 
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessPixlogix Infotech
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Enterprise Knowledge
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProduct Anonymous
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUK Journal
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024The Digital Insurer
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Miguel Araújo
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Drew Madelung
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobeapidays
 

Dernier (20)

Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
HTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation StrategiesHTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation Strategies
 
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your Business
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 

U4301106110

  • 1. Léandre Nneme et al Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 4, Issue 3( Version 1), March 2014, pp.106-110 www.ijera.com 106 | P a g e A Novel Electronic Instrument for the Analog Direct Synthesis of Arbitrary Waveforms and Wavelets Léandre Nneme Nneme*, Jean Mbihi**, Marcelus Zilefac Benazea ***, And Peter Akwo Tsam**** * (EEAT Research Laboratory, Douala University, BP 1872 Douala, Cameroon) ** (EEAT Research Laboratory, Douala University, BP 1872 Douala, Cameroon) *** (Department of Electrical engineering, ENSET, Douala University, BP 1872 Douala, Cameroon) **** (Department of Electrical engineering, ENSET, Douala University, BP 1872 Douala, Cameroon) ABSTRACT The electronic instrument studied in this paper is a novel model of arbitrary waveform and wavelet generator. Unlike most programmable instruments designed for the same purpose with high complexity and great cost unfortunately, the proposed testing instrument is founded on a direct synthesis of arbitrary waveform signals including wavelets, from a basis of elementary analog signals. A novel arbitrary signal generation scheme is presented and well tested using virtual simulation and experimentation. Then, the predicted and experimental results obtained under a wide variety of testing conditions are presented, in order to show the great challenge of building a cheaper and high quality workbench for arbitrary signal generators. Keywords – Electronic instrument, arbitrary waveforms, wavelets, virtual simulation, workbench. I. INTRODUCTION An arbitrary waveform generator (AWG) is an electronic test instrument, used to generate complex signals of any shape over a wide range of frequencies. Nowadays, most professionals AWGs encountered in industrial electronics engineering, are very expensive PC-based instruments. A few existing cheaper custom models are built as microcontroller-based systems for educational needs, at the expend of low performance and capabilities [1]-[3]. In all cases, the design technique of available AWGs is founded on the digital direct synthesis of arbitrary signals, to be converted into analog output using a digital-to-analog converter (DAC). As a result, the quality of the analog output wave is limited by a variety of factors due to digital- to-analog conversion constraints (conversion technique, main clock source, resolution, signal bandwidth, signal-to-noise ratio, sampling frequency and more). Thus, the merit of this paper is to resort to the new principle of analog direct synthesis of arbitrary waveforms, in order to overcome drawbacks associated with commonly used digital synthesis techniques for the generation of arbitrary waveforms. The feasibility of this new principle is motivated by the realistic nature of a basic technique proposed in [4] as a low-cost multichannel interface for single oscilloscopes. However, the great challenge of this paper emerges from the development of new building principles and electronic schemes, with straightforward applications to the creation of novel analog AWG families. The remaining Sections of the paper are organized as follows: In Section II, the principle of analog direct synthesis of arbitrary waves and wavelets is outlined, followed in Section III by the virtual simulation of a prototyping instrument. Furthermore, a complete custom instrument built is tested in Section IV using an instrumentation workbench and the experimental results obtained are presented. Finally, Section V deals with the conclusion in which of a few findings and related future research opportunities are outlined. II. PRINCIPLE OF ANALOG DIRECT SYNTHESIS OF ARBITRARY WAVES Let consider discrete times t0, t1 = t0 +T, …, tk = t0 + k T, tk+1 = t0 + (k+1) T, …, and a set of N = 2m basic analog signals {X0(t), X0(t), …, XN-1(t)}, where T is the clock period, and m being a given positive integer. Controlled offset values Yk might be associated to each Xk(t) if any. Then, the analog direct synthesis of arbitrary waves from the basis {X0(t) + Y0, X1(t)+ Y1, …, XN-1 (t) + YN-1 }, is modeled in this paper as follows: 𝑊 𝑡 = 𝑋 𝑘 𝑡 + 𝑌𝑘 (1) if k T ≤ t < (k+1) T (2) or equivalently,      1 0 ))1(()())(()( N k kk TktukTtuYtXtW (3) RESEARCH ARTICLE OPEN ACCESS
  • 2. Léandre Nneme et al Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 4, Issue 3( Version 1), March 2014, pp.106-110 www.ijera.com 107 | P a g e where u(.) stands for Heaviside step function, and k = 0, 1, 2, …, N-1 = 2m -1. Two important Theorems for remaining of this paper could be outlined from Equation (3). Theorem 1: There exists a wave family W(t) in Equation (3), which behaves as a virtual simultaneous sampling process of {Xk(t)} for k = 0, 1, …, N-1. The proof of that Theorem 1 relies on the limiting properties of a pulse width function with finite amplitude encountered in the distribution theory [5]. As an implication, if T  0, Equation (3) could be written as follows:           )()( ))1(()(lim)( ))1(()()(lim)( 1 0 1 0 0 1 0 0                     N k kk N k T kk N k kk T kTtYtX TktukTtuYtX TktukTtuYtXtW  (4) Structurally speaking, Equation (4) is similar to the sampling model of analog signals encountered in signal processing [6]. Here, W(t) could be displayed on the screen of a single channel oscilloscope, as virtual multiple signals. Theorem 2 : A variety of wavelets falls within the wave families W(t) defined by Equation (3). The proof of Theorem 2 is straightforward, since if the first p and the last q inputs signals can be set to zero over time, then the sequential cumulative effect of the remaining active inputs will produce an arbitrary wavelet given by:      qN pk k TktukTtutXtW 1 ))1(()()()( (5) Thus, Equation (3) is a generalized model of the analog synthesis conditions of W (t) from the analog basis {X0(t), X1(t),…, XN-1(t)}. As an implication, the principle of the analog synthesis of arbitrary waves initiated in this paper could be implemented as shown in Fig. 1, where the synoptic diagram of a the proposed analog AWG is illustrated. It consists of: 1) a clock with time period T; 2) a m-bit counter allowing a maximum of N = 2m discrete states; 3) two dual N/1 analog multiplexers for the simultaneous selection of both analog inputs X(t) and Y(t) to be processed; 4) a summing amplifier with arbitrary output wave W(t) according to the analog synthesis algorithm given by Equation (3). The analog input basis {X0(t), X1(t), …, XN- 1(t)}, can be generated with great ease using a simple analog integrated signal generator ICL 8038, since it might provide multiple outputs signals with different shapes (sine, square, triangle, and step). Fig. 1 : Synoptic diagram of the proposed analog AWG. III. VIRTUAL SIMULATION OF A PROTOTYPING INSTRUMENT A prototyping AWG is implemented and simulated using Proteus software. As shown in Fig. 2, the main modules of the prototyping instrument implemented under Proteus software, consist of N = 4 analog inputs with corresponding analog shift values, and the following analog integrated circuits: a) CD4047 (clock); b) CD4018 (counter); d) CD4052 (Dual 4/1 multiplexer); e) LM318 (Audio operational amplifier).
  • 3. Léandre Nneme et al Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 4, Issue 3( Version 1), March 2014, pp.106-110 www.ijera.com 108 | P a g e Fig. 2: Main modules of a prototyping instrument implemented under Proteus software. A sample of virtual simulation results obtained under analog input signals with identical frequencies and independent amplitudes are illustrated in Figure 3, whereas all related shift values are set to zero without lost of generality. As predicted earlier by equation (1), the graph of the arbitrary wave W(t) shows that, it is synthesized over time from a serialization of ordered segments of waves Xk(t), where k = 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, … In addition, the case of analog inputs with identical amplitudes and independent frequencies are shown in Figure 4. Even in this case, the principle of analog direct synthesis of arbitrary waves also holds. The ranges of input frequencies used are 50. In both cases, the graph of the resulting arbitrary signal is quite continuous since none of the analog inputs is identically zero over time. Fig. 3 : Simulation results for independent input amplitudes. Fig. 4 : Simulation results for independent input frequencies.
  • 4. Léandre Nneme et al Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 4, Issue 3( Version 1), March 2014, pp.106-110 www.ijera.com 109 | P a g e Fig. 5 : A sample of wavelets with arbitrary shapes obtained under virtual simulation. Furthermore, Figure 5 presents a summary of additional simulation results obtained under a variety of special operating conditions. Clearly speaking, the first important finding emerging from these results is that, under the principle of analog direct synthesis of arbitrary waves, complex wavelet families with arbitrary shapes could be generated with great ease as predicted earlier in Theorem 2. The second important finding arising here is that, when maintain over time first and last signals (for example X0(t) and XN-1(t)) to zero, then for a suitable choice of the parameters (amplitude and frequency) of the remaining intermediary signals, it might be possible to create standards wavelet shapes such as Mexican hat type, Mayer wavelet and more). However, this paper deals with the analog of arbitrary wave and wavelets. IV. EXPERIMENTAL WORKBENCH A view of the experimental instrumentation setup built in order test a prototyping AWG model is presented in Figure 6. It consists of single channel and low frequency signal generator Fig. 6: Instrumentation workbench of the prototyping AWG. (LF - PM510), a prototyping model of the proposed AWG (realized as a standalone instrument with 4 analog input channels with associated shifting
  • 5. Léandre Nneme et al Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 4, Issue 3( Version 1), March 2014, pp.106-110 www.ijera.com 110 | P a g e thresholds), and a single channel analog oscilloscope (HAMEG HM312) used for the measurement of AWG signals produced under analog inputs. The instrumentation workbench presented to test the new AWG studied in this paper, has a few technical limitations due only to the low performance and capabilities of both LF generator signal and testing oscilloscope. The best required testing instruments for a more suitable workbench should use a multichannel signal generator with independent outputs, and a single channel oscilloscope with a sufficiently wide bandwidth, in order to facilitate the realization of more attractive tests. Figure 7 shows a few typical results obtained when testing the new prototyping AWG instrument under conditions of Theorems 1 and 2. The active input channels are supplied from the same AC signal source (a single LF generator), whereas corresponding offset components are set to different values if any. Fig. 7: Experimental results obtained under conditions of Theorems 1and 2. In Figure 7(a), while X2(t) and X3(t) are set off, the result displayed viewed on the screen of the single channel oscilloscope, shows the realistic nature of Theorem 1with application in this case to the virtual simultaneous sampling process of two active inputs channels X0(t) and X1(t). Furthermore, the result presented in Figure 7(b), shows a wave synthesized from identical input channels X0(t), and X1(t), X2(t) and X3(t). In this case, the clock frequency 1/T is four times compared to that of identical input signals. The whole simulation and experimental results presented, show the realistic nature of the analog direct synthesis of arbitrary waves and wavelets families initiated in this paper. V. CONCLUSION The new approach of analog direct synthesis of arbitrary waves and wavelets, is validated in this paper, using a mix of analytical reasoning, virtual simulation, and experimentation on a well tested prototyping model. However, most arbitrary waves and wavelets generated and presented in this paper according to the analog synthesis principle have complex shapes compared to that of commonly used cases encountered in electronic and communication engineering (i.e. Mayer, Morlet, Mexican hat, and more). Thus, it will be a challenge to produce these standard shapes from the proposed analog synthesis approach. This remark is a good opportunity for further researches. REFERENCES [1] N. Gupta, P. Sediwal, and P. Pandey, Low- Cost Arbitrary Waveform Generator for Educational Environment Using ARM7, International Journal of Engineering Research and Applications, 3(6), Nov-Dec 2013, pp. 951-956. [2] J. Mbihi, N. TENE, et K. Takoufet, Etude et prototypage d’un générateur de signaux arbitraires à vocation didactique, Journal sur l'Enseignement des Sciences et des Technologies de l'Information et des Systèmes, 9(3), 2010, pp. 01-06. [3] J. Mbihi and A. Motto, Générateurs virtuels de signaux arbitraires, chap. 10 in Informatique industrielle: Instrumentation virtuelle assistée par ordinateur - Principes et techniques, cours et exercices corrigés(Paris, © Ellipses, 2012), pp. 132- 155. [4] D. Danyuk, and G. Pilko, Four channels on a single-channel oscilloscope, Electronics World and wireless world, January 1992, p. 58. [5] H. Reinhard, Eléments de mathématiques du signal – Tome 1, Signaux déterministes (Paris, © Dunod, 1997) , 223 pages. [6] A. Deluzurieux, M. Rami, and M. Rami, chap. 1 in Cours d’électronique numérique et échantillonnage – BTS, UIT et école d’ingénieurs (Paris, © Eyrolles, 1991), pp. 01-30.