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How to Choose a Right Wavelet and Wavelet Transform? (Understanding Wavelet's Properties) 

Exploring Technologies
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Hello Viewers, in this video, It is explained that how one can choose appropriate wavelet transform and a right wavelet for a particular application.
To choose a right wavelet, it is important to understand few basic properties of the wavelets such as, Vanishing moments, Support width, Regularity, Symmetry and Orthogonality. These properties actually help us in selection of right wavelet.
This video has following contents:
* Introduction.
* What to choose CWT or DWT?
* Understanding wavelets properties.
* Wavelets for Feature Extraction.
* Wavelets for Denoising.
* Wavelets for Compression.
* Wavelets for detection of change or discontinuity.
* Wavelets for other applications (Analysis of Variance, Watermarking, Edge detection, ECG signals, OCR).
Link of previous videos:
1. Introduction to Wavelet Theory and its Applications: • Introduction to Wavele...
2. Continuous Wavelet Transform (CWT) of 1D signals using Python and MATLAB: • Continuous Wavelet Tra...

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27 июл 2024

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Комментарии : 15   
@magneticmonopole
@magneticmonopole 5 месяцев назад
That was a great guide to wavelets! Thank you.
@gaurav.16
@gaurav.16 2 года назад
Very Informative Session
@davesabra4320
@davesabra4320 2 года назад
Thank you for compiling this.
@prabhatpradhan9254
@prabhatpradhan9254 Год назад
Very Nice explanations on Wavelet Analysis sir.. thank you
@Asparuh.Emilov
@Asparuh.Emilov Год назад
Great explanation! Could you please also show how to implement wavelets in Time Series Forecasting in Python?
@nurizyannabilah5580
@nurizyannabilah5580 Год назад
thank you
@PE-gw5gu
@PE-gw5gu Год назад
Thanks sir
@rayaalhajri3800
@rayaalhajri3800 Год назад
Do you think CWT is good to extract device specific impairments features?
@hodameftah6479
@hodameftah6479 Год назад
Thank you Dr ..you help me more ^_^ Please can suggest the book contain more information about this topic ?
@exploringtechnologies9
@exploringtechnologies9 Год назад
Prepared from many sources.
@moeinmaleki7859
@moeinmaleki7859 Год назад
all hail the wavelet overlord!!!!
@arash4232
@arash4232 8 месяцев назад
Hi, I can understand the trend but why there are two distinct alignments at 7:15? Can you give us some advice about how to read the scalograms, please? Thank you.
@beboaltemimiburhan1330
@beboaltemimiburhan1330 Год назад
thank you very much , but please can you help me? , I use financial time series with MoDWT , what is db(N=?) appropriate ? , I mean use (1 or what)
@exploringtechnologies9
@exploringtechnologies9 Год назад
In some cases we have to try different wavelets and have to compare results. I recommend db5, db6, db10, coif6, bior6.8, sym4.
@beboaltemimiburhan1330
@beboaltemimiburhan1330 Год назад
@@exploringtechnologies9 thank you very much , last question pleas,The comparison is based on what, I mean, what are you using to compare
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