SlideShare une entreprise Scribd logo
1  sur  13
Télécharger pour lire hors ligne
Unipolar Encoding Techniques
Line Coding: Unipolar-NRZ & Unipolar-RZ
CMS-A-CC-4-8
Lockdown Talk Series: DCNIT-LDTalks-3
Arunabha Saha
Department of Computer Science, Vidyasagar College
University of Calcutta
April 2020
Outline
Encoding techniques
Introduction to Unipolar encoding
Unipolar-NRZ
Unipolar-RZ
Signal drooping(Qualitatively)
Encoding techniques
what are the encoding variants we can think of..??
Digital data digital signal(DDDS aka 3DS)
Analog data digital signal
Digital data analog signal
Analog data analog signal
What is digital signal..?
Discreate, discontinious voltage pulses
Each pulse is a signal element
Binary data encoded into signal element
Unipolar encoding
In unipolar encoding, only 2 voltage levels are used
only represented by 0(SPACE) and 1(MARK); binary system.
Also know as On-Off Keying(OOK).
It uses only one polarity of voltage level.
The bit rate same as the data rate.
simple but obsolete.
Two common variants we will discuss here: unipolar NRZ and unipolar RZ
Unipolar NRZ( Not Return to Zero)(1)
It is called NRZ because the signal does not return to zero at the middle
of the bit.
Unipolar NRZ(2)
Pros:
Simple to implement
Require less bandwidth for transmission.
Cons:
Does not have any error handling scheme.
Not transparent; long string of 0s or 1s results loss of
synchronisation.
Presence of DC level.
Due to presence of low frequency components suffers from ’signal
droop’ problem
Unipolar NRZ example
If "1" appears(in input data
stream) then g(t) = V for
0 ≤ t ≤ Tc
if "0" appears then g(t) = 0
for 0 ≤ t ≤ Tc
Unipolar RZ(Return to Zero)(1)
Returns to zero in the middle of the bit.
Unipolar RZ(2)
If ’0’ appears : g(t) = 0 for 0 ≤ t ≤ Tc
if ’1’ appears:
g(t) =
1 for 0 ≤ t ≤ Tc
2
0 for Tc
2 ≤ t ≤ Tc
Unipolar RZ(3)
Pros:
less complicated to implement
The spectral line present at the symbol rate can be used as a clock.
Cons:
No error correction
consumes twice the bandwidth as unipolar-NRZ
The signal droop is caused at the places where signal is non-zero at
0 Hz.
Signal Drooping Problem(1)
When polar signals are transmitted over links with either transformer or
capacitor coupled (AC) repeaters, the DC level is removed converting
them into a polar format.
At 0 Hz, the continuous part of PSD is non-zero(low-frequency
components). This means the AC coupling will result in distortion of the
transmitted pulse shapes. Ac coupled transmission lines behaves as
high-pass RC filters and the resulting distortion in signal amplitude is of
exponential decay form. This effect termed as signal drooping1
.
1 Modern Digital and Analog Communication Systems, 3e, B. P. Lathi, OUP, 1998
signal droop(2)
Thank You
Image source: Google Images
all materials and codes are copyright protected under GNU GPL and Creative Commons(cc) license. Anyone can share or redistribute for
non-commercial purpose only. Usage of any lecture materials or(and) codes by any individual or institution for commercial benefits or
advancement without permission is strictly prohibited.

Contenu connexe

Tendances (20)

Ditial to Analog Converter
Ditial to Analog ConverterDitial to Analog Converter
Ditial to Analog Converter
 
Pass Transistor Logic
Pass Transistor LogicPass Transistor Logic
Pass Transistor Logic
 
Transmission of digital signals
Transmission of digital signalsTransmission of digital signals
Transmission of digital signals
 
What is 16 qam modulation
What is 16 qam modulationWhat is 16 qam modulation
What is 16 qam modulation
 
Matched filter
Matched filterMatched filter
Matched filter
 
Analog to digital converters, adc
Analog to digital converters, adcAnalog to digital converters, adc
Analog to digital converters, adc
 
Chapter10 switching
Chapter10 switchingChapter10 switching
Chapter10 switching
 
Convolutional codes
Convolutional codesConvolutional codes
Convolutional codes
 
Data Encoding
Data EncodingData Encoding
Data Encoding
 
Convolution Codes
Convolution CodesConvolution Codes
Convolution Codes
 
Delta modulation
Delta modulationDelta modulation
Delta modulation
 
DPCM
DPCMDPCM
DPCM
 
ASk,FSK,PSK
ASk,FSK,PSKASk,FSK,PSK
ASk,FSK,PSK
 
Link power and rise time budget analysis
Link power and rise time budget analysisLink power and rise time budget analysis
Link power and rise time budget analysis
 
Synchronization
SynchronizationSynchronization
Synchronization
 
Lecture 08
Lecture 08Lecture 08
Lecture 08
 
Logic families
Logic familiesLogic families
Logic families
 
Convolution codes - Coding/Decoding Tree codes and Trellis codes for multiple...
Convolution codes - Coding/Decoding Tree codes and Trellis codes for multiple...Convolution codes - Coding/Decoding Tree codes and Trellis codes for multiple...
Convolution codes - Coding/Decoding Tree codes and Trellis codes for multiple...
 
VLSI Testing Techniques
VLSI Testing TechniquesVLSI Testing Techniques
VLSI Testing Techniques
 
BCH Codes
BCH CodesBCH Codes
BCH Codes
 

Similaire à Unipolar Encoding Techniques: NRZ & RZ

digital-analog_22222222222222222222222.pdf
digital-analog_22222222222222222222222.pdfdigital-analog_22222222222222222222222.pdf
digital-analog_22222222222222222222222.pdfKiranG731731
 
Linecodingstudent 140716233501-phpapp01
Linecodingstudent 140716233501-phpapp01Linecodingstudent 140716233501-phpapp01
Linecodingstudent 140716233501-phpapp01Gita Patil
 
Manchester Encoding
Manchester EncodingManchester Encoding
Manchester Encodingtmavroidis
 
base-band_digital_data_transmission-Line coding - Copy.ppt
base-band_digital_data_transmission-Line coding - Copy.pptbase-band_digital_data_transmission-Line coding - Copy.ppt
base-band_digital_data_transmission-Line coding - Copy.pptAbyThomas54
 
CN & data Communication Lecture 10.ppt
CN & data Communication Lecture 10.pptCN & data Communication Lecture 10.ppt
CN & data Communication Lecture 10.pptMuhamamdAbubaker
 
Sonjoy kundu line coding
Sonjoy kundu    line codingSonjoy kundu    line coding
Sonjoy kundu line codingSonjoy Kundu
 
Ch4 Data communication and networking by neha g. kurale
Ch4 Data communication and networking by neha g. kuraleCh4 Data communication and networking by neha g. kurale
Ch4 Data communication and networking by neha g. kuraleNeha Kurale
 

Similaire à Unipolar Encoding Techniques: NRZ & RZ (20)

DC_PPT.pptx
DC_PPT.pptxDC_PPT.pptx
DC_PPT.pptx
 
digital-analog_22222222222222222222222.pdf
digital-analog_22222222222222222222222.pdfdigital-analog_22222222222222222222222.pdf
digital-analog_22222222222222222222222.pdf
 
Line coding
Line coding Line coding
Line coding
 
Linecodingstudent 140716233501-phpapp01
Linecodingstudent 140716233501-phpapp01Linecodingstudent 140716233501-phpapp01
Linecodingstudent 140716233501-phpapp01
 
Chapter4
Chapter4Chapter4
Chapter4
 
Line Coding.pptx
Line Coding.pptxLine Coding.pptx
Line Coding.pptx
 
Manchester Encoding
Manchester EncodingManchester Encoding
Manchester Encoding
 
base-band_digital_data_transmission-Line coding - Copy.ppt
base-band_digital_data_transmission-Line coding - Copy.pptbase-band_digital_data_transmission-Line coding - Copy.ppt
base-band_digital_data_transmission-Line coding - Copy.ppt
 
Line coding adcs
Line coding adcsLine coding adcs
Line coding adcs
 
Lecture 10.ppt
Lecture 10.pptLecture 10.ppt
Lecture 10.ppt
 
CN & data Communication Lecture 10.ppt
CN & data Communication Lecture 10.pptCN & data Communication Lecture 10.ppt
CN & data Communication Lecture 10.ppt
 
Mast content
Mast contentMast content
Mast content
 
Sonjoy kundu 007
Sonjoy kundu 007Sonjoy kundu 007
Sonjoy kundu 007
 
LineCoding_ADCS.ppt
LineCoding_ADCS.pptLineCoding_ADCS.ppt
LineCoding_ADCS.ppt
 
Sonjoy kundu line coding
Sonjoy kundu    line codingSonjoy kundu    line coding
Sonjoy kundu line coding
 
G5243336
G5243336G5243336
G5243336
 
Lecture 08
Lecture 08Lecture 08
Lecture 08
 
05 signal encoding
05 signal encoding05 signal encoding
05 signal encoding
 
lec5_13.pptx
lec5_13.pptxlec5_13.pptx
lec5_13.pptx
 
Ch4 Data communication and networking by neha g. kurale
Ch4 Data communication and networking by neha g. kuraleCh4 Data communication and networking by neha g. kurale
Ch4 Data communication and networking by neha g. kurale
 

Plus de Arunabha Saha

Manchester & Differential Manchester encoding scheme
Manchester & Differential Manchester encoding schemeManchester & Differential Manchester encoding scheme
Manchester & Differential Manchester encoding schemeArunabha Saha
 
Introduction to Line Coding Schemes
Introduction to Line Coding SchemesIntroduction to Line Coding Schemes
Introduction to Line Coding SchemesArunabha Saha
 
Introduction to Channel Capacity | DCNIT-LDTalks-1
Introduction to Channel Capacity | DCNIT-LDTalks-1Introduction to Channel Capacity | DCNIT-LDTalks-1
Introduction to Channel Capacity | DCNIT-LDTalks-1Arunabha Saha
 
Data Communication, Networking & Internet Technology Lecture Series(DCNIT-LDT...
Data Communication, Networking & Internet Technology Lecture Series(DCNIT-LDT...Data Communication, Networking & Internet Technology Lecture Series(DCNIT-LDT...
Data Communication, Networking & Internet Technology Lecture Series(DCNIT-LDT...Arunabha Saha
 
Naive Bayes Classifier
Naive Bayes ClassifierNaive Bayes Classifier
Naive Bayes ClassifierArunabha Saha
 
Introduction to Quantum Secret Sharing
Introduction to Quantum Secret SharingIntroduction to Quantum Secret Sharing
Introduction to Quantum Secret SharingArunabha Saha
 
Introduction to Quantum Teleportation & BBCJPW Protocol
Introduction to Quantum Teleportation & BBCJPW ProtocolIntroduction to Quantum Teleportation & BBCJPW Protocol
Introduction to Quantum Teleportation & BBCJPW ProtocolArunabha Saha
 
Introduction to Quantum Computation. Part - 1
Introduction to Quantum Computation. Part - 1Introduction to Quantum Computation. Part - 1
Introduction to Quantum Computation. Part - 1Arunabha Saha
 
Introduction to Quantum Computation. Part - 2
Introduction to Quantum Computation. Part - 2Introduction to Quantum Computation. Part - 2
Introduction to Quantum Computation. Part - 2Arunabha Saha
 
Brief Introduction to Boltzmann Machine
Brief Introduction to Boltzmann MachineBrief Introduction to Boltzmann Machine
Brief Introduction to Boltzmann MachineArunabha Saha
 

Plus de Arunabha Saha (11)

Manchester & Differential Manchester encoding scheme
Manchester & Differential Manchester encoding schemeManchester & Differential Manchester encoding scheme
Manchester & Differential Manchester encoding scheme
 
Baseline Wandering
Baseline WanderingBaseline Wandering
Baseline Wandering
 
Introduction to Line Coding Schemes
Introduction to Line Coding SchemesIntroduction to Line Coding Schemes
Introduction to Line Coding Schemes
 
Introduction to Channel Capacity | DCNIT-LDTalks-1
Introduction to Channel Capacity | DCNIT-LDTalks-1Introduction to Channel Capacity | DCNIT-LDTalks-1
Introduction to Channel Capacity | DCNIT-LDTalks-1
 
Data Communication, Networking & Internet Technology Lecture Series(DCNIT-LDT...
Data Communication, Networking & Internet Technology Lecture Series(DCNIT-LDT...Data Communication, Networking & Internet Technology Lecture Series(DCNIT-LDT...
Data Communication, Networking & Internet Technology Lecture Series(DCNIT-LDT...
 
Naive Bayes Classifier
Naive Bayes ClassifierNaive Bayes Classifier
Naive Bayes Classifier
 
Introduction to Quantum Secret Sharing
Introduction to Quantum Secret SharingIntroduction to Quantum Secret Sharing
Introduction to Quantum Secret Sharing
 
Introduction to Quantum Teleportation & BBCJPW Protocol
Introduction to Quantum Teleportation & BBCJPW ProtocolIntroduction to Quantum Teleportation & BBCJPW Protocol
Introduction to Quantum Teleportation & BBCJPW Protocol
 
Introduction to Quantum Computation. Part - 1
Introduction to Quantum Computation. Part - 1Introduction to Quantum Computation. Part - 1
Introduction to Quantum Computation. Part - 1
 
Introduction to Quantum Computation. Part - 2
Introduction to Quantum Computation. Part - 2Introduction to Quantum Computation. Part - 2
Introduction to Quantum Computation. Part - 2
 
Brief Introduction to Boltzmann Machine
Brief Introduction to Boltzmann MachineBrief Introduction to Boltzmann Machine
Brief Introduction to Boltzmann Machine
 

Dernier

Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17  How to Extend Models Using Mixin ClassesMixin Classes in Odoo 17  How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17 How to Extend Models Using Mixin ClassesCeline George
 
How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17Celine George
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactPECB
 
Sports & Fitness Value Added Course FY..
Sports & Fitness Value Added Course FY..Sports & Fitness Value Added Course FY..
Sports & Fitness Value Added Course FY..Disha Kariya
 
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhikauryashika82
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdfQucHHunhnh
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdfQucHHunhnh
 
Unit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxUnit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxVishalSingh1417
 
SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...
SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...
SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...KokoStevan
 
This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.christianmathematics
 
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...Shubhangi Sonawane
 
Making and Justifying Mathematical Decisions.pdf
Making and Justifying Mathematical Decisions.pdfMaking and Justifying Mathematical Decisions.pdf
Making and Justifying Mathematical Decisions.pdfChris Hunter
 
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfAdmir Softic
 
Introduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsIntroduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsTechSoup
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeThiyagu K
 
Unit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptxUnit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptxVishalSingh1417
 
Z Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphZ Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphThiyagu K
 

Dernier (20)

Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17  How to Extend Models Using Mixin ClassesMixin Classes in Odoo 17  How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
 
How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global Impact
 
Sports & Fitness Value Added Course FY..
Sports & Fitness Value Added Course FY..Sports & Fitness Value Added Course FY..
Sports & Fitness Value Added Course FY..
 
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdf
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdf
 
Unit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxUnit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptx
 
SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...
SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...
SECOND SEMESTER TOPIC COVERAGE SY 2023-2024 Trends, Networks, and Critical Th...
 
This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.
 
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
 
Mehran University Newsletter Vol-X, Issue-I, 2024
Mehran University Newsletter Vol-X, Issue-I, 2024Mehran University Newsletter Vol-X, Issue-I, 2024
Mehran University Newsletter Vol-X, Issue-I, 2024
 
Making and Justifying Mathematical Decisions.pdf
Making and Justifying Mathematical Decisions.pdfMaking and Justifying Mathematical Decisions.pdf
Making and Justifying Mathematical Decisions.pdf
 
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdf
 
Introduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsIntroduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The Basics
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and Mode
 
Unit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptxUnit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptx
 
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
 
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
 
Z Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphZ Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot Graph
 

Unipolar Encoding Techniques: NRZ & RZ

  • 1. Unipolar Encoding Techniques Line Coding: Unipolar-NRZ & Unipolar-RZ CMS-A-CC-4-8 Lockdown Talk Series: DCNIT-LDTalks-3 Arunabha Saha Department of Computer Science, Vidyasagar College University of Calcutta April 2020
  • 2. Outline Encoding techniques Introduction to Unipolar encoding Unipolar-NRZ Unipolar-RZ Signal drooping(Qualitatively)
  • 3. Encoding techniques what are the encoding variants we can think of..?? Digital data digital signal(DDDS aka 3DS) Analog data digital signal Digital data analog signal Analog data analog signal What is digital signal..? Discreate, discontinious voltage pulses Each pulse is a signal element Binary data encoded into signal element
  • 4. Unipolar encoding In unipolar encoding, only 2 voltage levels are used only represented by 0(SPACE) and 1(MARK); binary system. Also know as On-Off Keying(OOK). It uses only one polarity of voltage level. The bit rate same as the data rate. simple but obsolete. Two common variants we will discuss here: unipolar NRZ and unipolar RZ
  • 5. Unipolar NRZ( Not Return to Zero)(1) It is called NRZ because the signal does not return to zero at the middle of the bit.
  • 6. Unipolar NRZ(2) Pros: Simple to implement Require less bandwidth for transmission. Cons: Does not have any error handling scheme. Not transparent; long string of 0s or 1s results loss of synchronisation. Presence of DC level. Due to presence of low frequency components suffers from ’signal droop’ problem
  • 7. Unipolar NRZ example If "1" appears(in input data stream) then g(t) = V for 0 ≤ t ≤ Tc if "0" appears then g(t) = 0 for 0 ≤ t ≤ Tc
  • 8. Unipolar RZ(Return to Zero)(1) Returns to zero in the middle of the bit.
  • 9. Unipolar RZ(2) If ’0’ appears : g(t) = 0 for 0 ≤ t ≤ Tc if ’1’ appears: g(t) = 1 for 0 ≤ t ≤ Tc 2 0 for Tc 2 ≤ t ≤ Tc
  • 10. Unipolar RZ(3) Pros: less complicated to implement The spectral line present at the symbol rate can be used as a clock. Cons: No error correction consumes twice the bandwidth as unipolar-NRZ The signal droop is caused at the places where signal is non-zero at 0 Hz.
  • 11. Signal Drooping Problem(1) When polar signals are transmitted over links with either transformer or capacitor coupled (AC) repeaters, the DC level is removed converting them into a polar format. At 0 Hz, the continuous part of PSD is non-zero(low-frequency components). This means the AC coupling will result in distortion of the transmitted pulse shapes. Ac coupled transmission lines behaves as high-pass RC filters and the resulting distortion in signal amplitude is of exponential decay form. This effect termed as signal drooping1 . 1 Modern Digital and Analog Communication Systems, 3e, B. P. Lathi, OUP, 1998
  • 13. Thank You Image source: Google Images all materials and codes are copyright protected under GNU GPL and Creative Commons(cc) license. Anyone can share or redistribute for non-commercial purpose only. Usage of any lecture materials or(and) codes by any individual or institution for commercial benefits or advancement without permission is strictly prohibited.