Dear Mohammad Razib Hossain

Wavelet Toolbox™ provides apps and functions for analyzing and synthesizing signals and images. You can detect events like anomalies, change points, and transients, and denoise and compress data. Wavelet and other multiscale techniques can be used to analyze data at different time and frequency resolutions and to decompose signals and images into their various components. You can use wavelet techniques to reduce dimensionality and extract discriminating features from signals and images to train machine and deep learning models

https://www.mathworks.com/products/wavelet.html

https://www.mathworks.com/help/wavelet/ug/practical-introduction-to-continuous-analysis.html

Regards,

Shafagat

You can directly utilize MATLAB inbuilt function for your data.

wcoh = wcoherence(x,y)

[wcoh,wcs] = wcoherence(x,y)

[wcoh,wcs,period] = wcoherence(x,y,ts)

[wcoh,wcs,f] = wcoherence(x,y,fs)

[wcoh,wcs,f,coi] = wcoherence(___)

[wcoh,wcs,period,coi] = wcoherence(___,ts)

[___,coi,wtx,wty] = wcoherence(___)

[___] = wcoherence(___,Name,Value)

wcoherence(___)

Sir please watch this vedio

https://www.youtube.com/watch?v=Tbmr-d2P2vM

You can refer to the following links

1) https://in.mathworks.com/help/wavelet/ref/wcoherence.html

2) https://in.mathworks.com/matlabcentral/fileexchange/47985-cross-wavelet-and-wavelet-coherence

Dear Shafagat Mahmudova Thank you so much for your suggestions.

Dear Om Prakash Yadav thanks for your insightful reply

Dear Anil Kamboj thanks for your reply sir. I will definitely check the links.

Dear Muhammad Abbas Khan thank you so much