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

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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 Wavelet Theory and it...
2. Continuous Wavelet Transform (CWT) of 1D signals using Python and MATLAB: Continuous Wavelet Transform (CWT) of...

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• #how_to_choose_right_wavelet
• #wavelet_transform
• #dwt
• #discrerete_wavelet_transform
• #cwt
• #continuous_wavelet_transform
• #modwt
• #maximally_overlap_dwt
• #properties_of_the_wavelets
• #vanishing_moments
• #suppport_width
• #regularity
• #symmetry
• #orthogonality
• #feature_extraction
• #denoising
• #compression
• #discontinuity_detection
• #analysis_of_variance
• #watermarking
• #edge_detection
• #ecg_signals
• #ocr
• #time_invariance