SlideShare a Scribd company logo
1 of 16
Introduction to Wavelet Transform
TABLE OF CONTENT ,[object Object],[object Object],[object Object],[object Object]
Time Domain Signal 10 Hz 2 Hz 20 Hz 2 Hz + 10 Hz + 20Hz Time Time Time Time Magnitude Magnitude Magnitude Magnitude
FREQUENCY ANALYSIS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Limitations of FT ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Limitations of FT Occur at all times Do not appear at all times Time Magnitude Magnitude Frequency (Hz) 2 Hz + 10 Hz + 20Hz Stationary Time Magnitude Magnitude Frequency (Hz) Non-Stationary 0.0-0.4:  2 Hz +  0.4-0.7: 10 Hz +  0.7-1.0: 20Hz
[object Object],Limitations of FT Same in Frequency Domain ,[object Object],At what time the frequency components occur?  FT can not tell! Time Magnitude Magnitude Frequency (Hz) Time Magnitude Magnitude Frequency (Hz) Different in Time Domain
[object Object],[object Object],Limitations of FT Many Signals in our daily life are Non-stationary.  (We need to know  whether  and also  when   an incident was happened.)
Solutions = Wavelet Transform
WAVELET TRANSFORM Translation (The location of the window) Scale Window function
SCALE and Translation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
S = 5
S = 20
COMPUTATION OF CWT ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Summary ,[object Object],[object Object],[object Object]
End

More Related Content

What's hot

Discrete fourier transform
Discrete fourier transformDiscrete fourier transform
Discrete fourier transformMOHAMMAD AKRAM
 
Deep neural networks
Deep neural networksDeep neural networks
Deep neural networksSi Haem
 
Image Denoising Using Wavelet
Image Denoising Using WaveletImage Denoising Using Wavelet
Image Denoising Using WaveletAsim Qureshi
 
DSP_2018_FOEHU - Lec 07 - IIR Filter Design
DSP_2018_FOEHU - Lec 07 - IIR Filter DesignDSP_2018_FOEHU - Lec 07 - IIR Filter Design
DSP_2018_FOEHU - Lec 07 - IIR Filter DesignAmr E. Mohamed
 
Basics of Digital Filters
Basics of Digital FiltersBasics of Digital Filters
Basics of Digital Filtersop205
 
FILTER DESIGN
FILTER DESIGNFILTER DESIGN
FILTER DESIGNnaimish12
 
Isi and nyquist criterion
Isi and nyquist criterionIsi and nyquist criterion
Isi and nyquist criterionsrkrishna341
 
Wavelet transform
Wavelet transformWavelet transform
Wavelet transformTwinkal
 
Discrete Fourier Transform
Discrete Fourier TransformDiscrete Fourier Transform
Discrete Fourier TransformAbhishek Choksi
 
Wigner-Ville Distribution: In Perspective of Fault Diagnosis
Wigner-Ville Distribution:  In Perspective of Fault DiagnosisWigner-Ville Distribution:  In Perspective of Fault Diagnosis
Wigner-Ville Distribution: In Perspective of Fault DiagnosisJungho Park
 
Presentation on fourier transformation
Presentation on fourier transformationPresentation on fourier transformation
Presentation on fourier transformationWasim Shah
 
discrete wavelet transform
discrete wavelet transformdiscrete wavelet transform
discrete wavelet transformpiyush_11
 
Wavelet Applications in Image Denoising Using MATLAB
Wavelet Applications in Image Denoising Using MATLABWavelet Applications in Image Denoising Using MATLAB
Wavelet Applications in Image Denoising Using MATLABajayhakkumar
 

What's hot (20)

Discrete fourier transform
Discrete fourier transformDiscrete fourier transform
Discrete fourier transform
 
z transforms
z transformsz transforms
z transforms
 
Deep neural networks
Deep neural networksDeep neural networks
Deep neural networks
 
Image Denoising Using Wavelet
Image Denoising Using WaveletImage Denoising Using Wavelet
Image Denoising Using Wavelet
 
DSP_2018_FOEHU - Lec 07 - IIR Filter Design
DSP_2018_FOEHU - Lec 07 - IIR Filter DesignDSP_2018_FOEHU - Lec 07 - IIR Filter Design
DSP_2018_FOEHU - Lec 07 - IIR Filter Design
 
03 image transform
03 image transform03 image transform
03 image transform
 
Basics of Digital Filters
Basics of Digital FiltersBasics of Digital Filters
Basics of Digital Filters
 
FILTER DESIGN
FILTER DESIGNFILTER DESIGN
FILTER DESIGN
 
Isi and nyquist criterion
Isi and nyquist criterionIsi and nyquist criterion
Isi and nyquist criterion
 
Wavelet transform
Wavelet transformWavelet transform
Wavelet transform
 
Discrete Fourier Transform
Discrete Fourier TransformDiscrete Fourier Transform
Discrete Fourier Transform
 
Wigner-Ville Distribution: In Perspective of Fault Diagnosis
Wigner-Ville Distribution:  In Perspective of Fault DiagnosisWigner-Ville Distribution:  In Perspective of Fault Diagnosis
Wigner-Ville Distribution: In Perspective of Fault Diagnosis
 
Wavelets presentation
Wavelets presentationWavelets presentation
Wavelets presentation
 
Fourier transform
Fourier transformFourier transform
Fourier transform
 
Fourier transform
Fourier transformFourier transform
Fourier transform
 
FILTER BANKS
FILTER BANKSFILTER BANKS
FILTER BANKS
 
Fourier Transform
Fourier TransformFourier Transform
Fourier Transform
 
Presentation on fourier transformation
Presentation on fourier transformationPresentation on fourier transformation
Presentation on fourier transformation
 
discrete wavelet transform
discrete wavelet transformdiscrete wavelet transform
discrete wavelet transform
 
Wavelet Applications in Image Denoising Using MATLAB
Wavelet Applications in Image Denoising Using MATLABWavelet Applications in Image Denoising Using MATLAB
Wavelet Applications in Image Denoising Using MATLAB
 

Viewers also liked

Wavelet transform and its applications in data analysis and signal and image ...
Wavelet transform and its applications in data analysis and signal and image ...Wavelet transform and its applications in data analysis and signal and image ...
Wavelet transform and its applications in data analysis and signal and image ...Sourjya Dutta
 
Introduction to Wavelet Transform with Applications to DSP
Introduction to Wavelet Transform with Applications to DSPIntroduction to Wavelet Transform with Applications to DSP
Introduction to Wavelet Transform with Applications to DSPHicham Berkouk
 
Wavelet transform in two dimensions
Wavelet transform in two dimensionsWavelet transform in two dimensions
Wavelet transform in two dimensionsAyushi Gagneja
 
Signal Processing Course : Wavelets
Signal Processing Course : WaveletsSignal Processing Course : Wavelets
Signal Processing Course : WaveletsGabriel Peyré
 
Wavelet based image compression technique
Wavelet based image compression techniqueWavelet based image compression technique
Wavelet based image compression techniquePriyanka Pachori
 
Wavelet Transform - Intro
Wavelet Transform - IntroWavelet Transform - Intro
Wavelet Transform - IntroImane Haf
 
Introduction to wavelet transform with applications to dsp
Introduction to wavelet transform with applications to dspIntroduction to wavelet transform with applications to dsp
Introduction to wavelet transform with applications to dspJamal Jamali
 
DWT based approach for steganography using biometrics
DWT based approach for steganography using biometricsDWT based approach for steganography using biometrics
DWT based approach for steganography using biometricsSri Madhur
 
Skin tone based steganography
Skin tone based steganographySkin tone based steganography
Skin tone based steganographyGirish Ram M
 
A blind and robust video watermarking scheme in the DT CWT and SVD domain
A blind and robust video watermarking scheme in the DT CWT and SVD domainA blind and robust video watermarking scheme in the DT CWT and SVD domain
A blind and robust video watermarking scheme in the DT CWT and SVD domainAbhishek Nath
 
Watermarking Techniques
Watermarking TechniquesWatermarking Techniques
Watermarking Techniquesabhijeetmi90
 
Analysis and Classification of ECG Signal using Neural Network
Analysis and Classification of ECG Signal using Neural NetworkAnalysis and Classification of ECG Signal using Neural Network
Analysis and Classification of ECG Signal using Neural NetworkZHENG YAN LAM
 
Wavelet Multi-resolution Analysis of High Frequency FX Rates
Wavelet Multi-resolution Analysis of High Frequency FX RatesWavelet Multi-resolution Analysis of High Frequency FX Rates
Wavelet Multi-resolution Analysis of High Frequency FX RatesaiQUANT
 
Communication Engineering - Chapter 6 - Noise
Communication Engineering - Chapter 6 - NoiseCommunication Engineering - Chapter 6 - Noise
Communication Engineering - Chapter 6 - Noisemkazree
 
Feature Extraction
Feature ExtractionFeature Extraction
Feature Extractionskylian
 
Wireless body area network
Wireless body area networkWireless body area network
Wireless body area networkPratik Gondaliya
 

Viewers also liked (20)

Wavelet transform and its applications in data analysis and signal and image ...
Wavelet transform and its applications in data analysis and signal and image ...Wavelet transform and its applications in data analysis and signal and image ...
Wavelet transform and its applications in data analysis and signal and image ...
 
Introduction to Wavelet Transform with Applications to DSP
Introduction to Wavelet Transform with Applications to DSPIntroduction to Wavelet Transform with Applications to DSP
Introduction to Wavelet Transform with Applications to DSP
 
Wavelet transform in two dimensions
Wavelet transform in two dimensionsWavelet transform in two dimensions
Wavelet transform in two dimensions
 
Signal Processing Course : Wavelets
Signal Processing Course : WaveletsSignal Processing Course : Wavelets
Signal Processing Course : Wavelets
 
Difference between wavelet transform and fourier transform
Difference between wavelet transform and fourier transformDifference between wavelet transform and fourier transform
Difference between wavelet transform and fourier transform
 
Wavelet based image compression technique
Wavelet based image compression techniqueWavelet based image compression technique
Wavelet based image compression technique
 
Wavelet Transform - Intro
Wavelet Transform - IntroWavelet Transform - Intro
Wavelet Transform - Intro
 
Introduction to wavelet transform with applications to dsp
Introduction to wavelet transform with applications to dspIntroduction to wavelet transform with applications to dsp
Introduction to wavelet transform with applications to dsp
 
DWT based approach for steganography using biometrics
DWT based approach for steganography using biometricsDWT based approach for steganography using biometrics
DWT based approach for steganography using biometrics
 
Skin tone based steganography
Skin tone based steganographySkin tone based steganography
Skin tone based steganography
 
A blind and robust video watermarking scheme in the DT CWT and SVD domain
A blind and robust video watermarking scheme in the DT CWT and SVD domainA blind and robust video watermarking scheme in the DT CWT and SVD domain
A blind and robust video watermarking scheme in the DT CWT and SVD domain
 
Watermarking Techniques
Watermarking TechniquesWatermarking Techniques
Watermarking Techniques
 
Video processing on dsp
Video processing on dspVideo processing on dsp
Video processing on dsp
 
Analysis and Classification of ECG Signal using Neural Network
Analysis and Classification of ECG Signal using Neural NetworkAnalysis and Classification of ECG Signal using Neural Network
Analysis and Classification of ECG Signal using Neural Network
 
WBAN
WBANWBAN
WBAN
 
Wavelet Multi-resolution Analysis of High Frequency FX Rates
Wavelet Multi-resolution Analysis of High Frequency FX RatesWavelet Multi-resolution Analysis of High Frequency FX Rates
Wavelet Multi-resolution Analysis of High Frequency FX Rates
 
Communication Engineering - Chapter 6 - Noise
Communication Engineering - Chapter 6 - NoiseCommunication Engineering - Chapter 6 - Noise
Communication Engineering - Chapter 6 - Noise
 
Wireless Body Area Network (WBAN)
Wireless Body Area Network (WBAN)Wireless Body Area Network (WBAN)
Wireless Body Area Network (WBAN)
 
Feature Extraction
Feature ExtractionFeature Extraction
Feature Extraction
 
Wireless body area network
Wireless body area networkWireless body area network
Wireless body area network
 

Similar to Wavelet

Wavelets AND counterlets
Wavelets  AND  counterletsWavelets  AND  counterlets
Wavelets AND counterletsAvichal Sharma
 
Basics of signals data communication
Basics of signals data communicationBasics of signals data communication
Basics of signals data communicationSyed Bilal Zaidi
 
Bandpass Differentiator FM Receiver
Bandpass Differentiator FM ReceiverBandpass Differentiator FM Receiver
Bandpass Differentiator FM ReceiverNathan Wendt
 
Chapter 4 frequency modulation
Chapter 4 frequency modulationChapter 4 frequency modulation
Chapter 4 frequency modulationHattori Sidek
 
3.Wavelet Transform(Backup slide-3)
3.Wavelet Transform(Backup slide-3)3.Wavelet Transform(Backup slide-3)
3.Wavelet Transform(Backup slide-3)Nashid Alam
 
A TRANSLATION INVARIANCE DENOISING ALGORITHM WITH SOFT WAVELET THRESHOLD AND ...
A TRANSLATION INVARIANCE DENOISING ALGORITHM WITH SOFT WAVELET THRESHOLD AND ...A TRANSLATION INVARIANCE DENOISING ALGORITHM WITH SOFT WAVELET THRESHOLD AND ...
A TRANSLATION INVARIANCE DENOISING ALGORITHM WITH SOFT WAVELET THRESHOLD AND ...IJITCA Journal
 
A TRANSLATION INVARIANCE DENOISING ALGORITHM WITH SOFT WAVELET THRESHOLD AND ...
A TRANSLATION INVARIANCE DENOISING ALGORITHM WITH SOFT WAVELET THRESHOLD AND ...A TRANSLATION INVARIANCE DENOISING ALGORITHM WITH SOFT WAVELET THRESHOLD AND ...
A TRANSLATION INVARIANCE DENOISING ALGORITHM WITH SOFT WAVELET THRESHOLD AND ...IJITCA Journal
 
Slide Handouts with Notes
Slide Handouts with NotesSlide Handouts with Notes
Slide Handouts with NotesLeon Nguyen
 
Communication systems
Communication systemsCommunication systems
Communication systemsUmang Gupta
 
COMMUNICATION SYSTEM_Module-2_part1 (1).pdf
COMMUNICATION SYSTEM_Module-2_part1 (1).pdfCOMMUNICATION SYSTEM_Module-2_part1 (1).pdf
COMMUNICATION SYSTEM_Module-2_part1 (1).pdfCOMPETITIVEGURUJI
 
Angle modulation
Angle modulationAngle modulation
Angle modulationJay Shah
 

Similar to Wavelet (20)

Wavelets AND counterlets
Wavelets  AND  counterletsWavelets  AND  counterlets
Wavelets AND counterlets
 
Book wavelets
Book waveletsBook wavelets
Book wavelets
 
dspppt.pptx
dspppt.pptxdspppt.pptx
dspppt.pptx
 
Ft and FFT
Ft and FFTFt and FFT
Ft and FFT
 
Lec11.ppt
Lec11.pptLec11.ppt
Lec11.ppt
 
Basics of signals data communication
Basics of signals data communicationBasics of signals data communication
Basics of signals data communication
 
Rf fundamentals
Rf fundamentalsRf fundamentals
Rf fundamentals
 
Bandpass Differentiator FM Receiver
Bandpass Differentiator FM ReceiverBandpass Differentiator FM Receiver
Bandpass Differentiator FM Receiver
 
Chapter 4 frequency modulation
Chapter 4 frequency modulationChapter 4 frequency modulation
Chapter 4 frequency modulation
 
3.Wavelet Transform(Backup slide-3)
3.Wavelet Transform(Backup slide-3)3.Wavelet Transform(Backup slide-3)
3.Wavelet Transform(Backup slide-3)
 
ISI & niquist Criterion.pptx
ISI & niquist Criterion.pptxISI & niquist Criterion.pptx
ISI & niquist Criterion.pptx
 
A TRANSLATION INVARIANCE DENOISING ALGORITHM WITH SOFT WAVELET THRESHOLD AND ...
A TRANSLATION INVARIANCE DENOISING ALGORITHM WITH SOFT WAVELET THRESHOLD AND ...A TRANSLATION INVARIANCE DENOISING ALGORITHM WITH SOFT WAVELET THRESHOLD AND ...
A TRANSLATION INVARIANCE DENOISING ALGORITHM WITH SOFT WAVELET THRESHOLD AND ...
 
A TRANSLATION INVARIANCE DENOISING ALGORITHM WITH SOFT WAVELET THRESHOLD AND ...
A TRANSLATION INVARIANCE DENOISING ALGORITHM WITH SOFT WAVELET THRESHOLD AND ...A TRANSLATION INVARIANCE DENOISING ALGORITHM WITH SOFT WAVELET THRESHOLD AND ...
A TRANSLATION INVARIANCE DENOISING ALGORITHM WITH SOFT WAVELET THRESHOLD AND ...
 
Slide Handouts with Notes
Slide Handouts with NotesSlide Handouts with Notes
Slide Handouts with Notes
 
Emi fifth-sem-spectrum-analyzer
Emi fifth-sem-spectrum-analyzerEmi fifth-sem-spectrum-analyzer
Emi fifth-sem-spectrum-analyzer
 
Communication systems
Communication systemsCommunication systems
Communication systems
 
COMMUNICATION SYSTEM_Module-2_part1 (1).pdf
COMMUNICATION SYSTEM_Module-2_part1 (1).pdfCOMMUNICATION SYSTEM_Module-2_part1 (1).pdf
COMMUNICATION SYSTEM_Module-2_part1 (1).pdf
 
Lecture 07
Lecture 07Lecture 07
Lecture 07
 
ASK,FSK and M-PSK using Matlab
ASK,FSK and M-PSK using MatlabASK,FSK and M-PSK using Matlab
ASK,FSK and M-PSK using Matlab
 
Angle modulation
Angle modulationAngle modulation
Angle modulation
 

More from aiQUANT

Finding the Best Liquidity in Dark Pools
Finding the Best Liquidity in Dark PoolsFinding the Best Liquidity in Dark Pools
Finding the Best Liquidity in Dark PoolsaiQUANT
 
FIX Protocol Overview.
FIX Protocol Overview.FIX Protocol Overview.
FIX Protocol Overview.aiQUANT
 
FIX Protocol Overview.
FIX Protocol Overview.FIX Protocol Overview.
FIX Protocol Overview.aiQUANT
 
Multirate
MultirateMultirate
MultirateaiQUANT
 
Spline Interpolation
Spline InterpolationSpline Interpolation
Spline InterpolationaiQUANT
 
Philip Genetic Programming In Statistical Arbitrage
Philip Genetic Programming In Statistical ArbitragePhilip Genetic Programming In Statistical Arbitrage
Philip Genetic Programming In Statistical ArbitrageaiQUANT
 
Stock Market Data Analysis Using Rescaled Range
Stock  Market  Data  Analysis  Using  Rescaled  RangeStock  Market  Data  Analysis  Using  Rescaled  Range
Stock Market Data Analysis Using Rescaled RangeaiQUANT
 
Cgo2007 P3 3 Birkbeck
Cgo2007 P3 3 BirkbeckCgo2007 P3 3 Birkbeck
Cgo2007 P3 3 BirkbeckaiQUANT
 
A Dimension Abstraction Approach to Vectorization in Matlab
A Dimension Abstraction Approach to Vectorization in MatlabA Dimension Abstraction Approach to Vectorization in Matlab
A Dimension Abstraction Approach to Vectorization in MatlabaiQUANT
 

More from aiQUANT (9)

Finding the Best Liquidity in Dark Pools
Finding the Best Liquidity in Dark PoolsFinding the Best Liquidity in Dark Pools
Finding the Best Liquidity in Dark Pools
 
FIX Protocol Overview.
FIX Protocol Overview.FIX Protocol Overview.
FIX Protocol Overview.
 
FIX Protocol Overview.
FIX Protocol Overview.FIX Protocol Overview.
FIX Protocol Overview.
 
Multirate
MultirateMultirate
Multirate
 
Spline Interpolation
Spline InterpolationSpline Interpolation
Spline Interpolation
 
Philip Genetic Programming In Statistical Arbitrage
Philip Genetic Programming In Statistical ArbitragePhilip Genetic Programming In Statistical Arbitrage
Philip Genetic Programming In Statistical Arbitrage
 
Stock Market Data Analysis Using Rescaled Range
Stock  Market  Data  Analysis  Using  Rescaled  RangeStock  Market  Data  Analysis  Using  Rescaled  Range
Stock Market Data Analysis Using Rescaled Range
 
Cgo2007 P3 3 Birkbeck
Cgo2007 P3 3 BirkbeckCgo2007 P3 3 Birkbeck
Cgo2007 P3 3 Birkbeck
 
A Dimension Abstraction Approach to Vectorization in Matlab
A Dimension Abstraction Approach to Vectorization in MatlabA Dimension Abstraction Approach to Vectorization in Matlab
A Dimension Abstraction Approach to Vectorization in Matlab
 

Recently uploaded

Decarbonising Buildings: Making a net-zero built environment a reality
Decarbonising Buildings: Making a net-zero built environment a realityDecarbonising Buildings: Making a net-zero built environment a reality
Decarbonising Buildings: Making a net-zero built environment a realityIES VE
 
Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...
Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...
Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...Scott Andery
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersRaghuram Pandurangan
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe
 
2024 April Patch Tuesday
2024 April Patch Tuesday2024 April Patch Tuesday
2024 April Patch TuesdayIvanti
 
Modern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
Modern Roaming for Notes and Nomad – Cheaper Faster Better StrongerModern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
Modern Roaming for Notes and Nomad – Cheaper Faster Better Strongerpanagenda
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024Lonnie McRorey
 
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfSo einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfpanagenda
 
Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024Hiroshi SHIBATA
 
Time Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsTime Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsNathaniel Shimoni
 
UiPath Community: Communication Mining from Zero to Hero
UiPath Community: Communication Mining from Zero to HeroUiPath Community: Communication Mining from Zero to Hero
UiPath Community: Communication Mining from Zero to HeroUiPathCommunity
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxLoriGlavin3
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfLoriGlavin3
 
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesHow to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesThousandEyes
 
Data governance with Unity Catalog Presentation
Data governance with Unity Catalog PresentationData governance with Unity Catalog Presentation
Data governance with Unity Catalog PresentationKnoldus Inc.
 
A Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersA Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersNicole Novielli
 
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentEmixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentPim van der Noll
 
Potential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsPotential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsRavi Sanghani
 
Testing tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesTesting tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesKari Kakkonen
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfMounikaPolabathina
 

Recently uploaded (20)

Decarbonising Buildings: Making a net-zero built environment a reality
Decarbonising Buildings: Making a net-zero built environment a realityDecarbonising Buildings: Making a net-zero built environment a reality
Decarbonising Buildings: Making a net-zero built environment a reality
 
Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...
Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...
Enhancing User Experience - Exploring the Latest Features of Tallyman Axis Lo...
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information Developers
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.
 
2024 April Patch Tuesday
2024 April Patch Tuesday2024 April Patch Tuesday
2024 April Patch Tuesday
 
Modern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
Modern Roaming for Notes and Nomad – Cheaper Faster Better StrongerModern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
Modern Roaming for Notes and Nomad – Cheaper Faster Better Stronger
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024
 
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfSo einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
 
Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024
 
Time Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directionsTime Series Foundation Models - current state and future directions
Time Series Foundation Models - current state and future directions
 
UiPath Community: Communication Mining from Zero to Hero
UiPath Community: Communication Mining from Zero to HeroUiPath Community: Communication Mining from Zero to Hero
UiPath Community: Communication Mining from Zero to Hero
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdf
 
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesHow to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
 
Data governance with Unity Catalog Presentation
Data governance with Unity Catalog PresentationData governance with Unity Catalog Presentation
Data governance with Unity Catalog Presentation
 
A Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersA Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software Developers
 
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentEmixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
 
Potential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsPotential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and Insights
 
Testing tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examplesTesting tools and AI - ideas what to try with some tool examples
Testing tools and AI - ideas what to try with some tool examples
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdf
 

Wavelet