I have a huge data for which I want to apply wavelet and plot scalogram. the below code works for small data. However, I have a huge signal, for which I am not able to plot scalogram.
Can anyone suggest possible way to
wname = 'morl'; scales=1:64; coefs = cwt(Signal,scales,wname);%'scalCNT'); TAB_Sca2Frq = scal2frq(scales,wname,1/fs); z=wscalogram('image',coefs,TAB_Sca2Frq,Signal);
May you can classify your data in many ranges or levels of values
May you can classify your data in many ranges or levels of values
Perhaps you can break up the data into manageable chunks(as per your mini data , where it works) and add the coeffs cumulatively before using scal2frq , then use wscalogram.
Good Luck
Cheers
For huge signal u mean 2D image, the system software (Matlab) have limited static memory. Matlab function may support 512x512 2D image processing.
But more than that better to resize the image.
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