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Continuous Wavelet Transform (CWT) of 1-D Signals using Python and MATLAB (with Scalogram plots)

In this video, Continuous Wavelet Transform (CWT) and its applications are discussed. A brief theory of wavelet and CWT is presented. Also, Python and MATLAB implementation are shown to compute continuous wavelet transform coefficients in the form of beautiful Scalograms. These Scalograms are very important for the study of CWT of 1-D signals, highlighting their properties such as frequency break, time discontinuity, burst etc. These Scalograms can also be used as image input to some deep neural network for 1D signals classification.
This video has the following contents:

* Theory of Continuous Wavelet Transform(CWT).
* CWT Applications.
* CWT of 1-D signals using Python (Using PyWavelet).
* Python Code for CWT of simple signal and signal with discontinuity.
* CWT of 1-D signals using MATLAB (Older and newer functions support).
* MATLAB Code for CWT of simple signal and signal with discontinuity.

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