MATLAB: Signal Frequency evaluation using Wavelet transform (CWT, Morlet wavelet)

cwtfrequencymorletwavelet transform

I have a signal (32Hz sampling rate) and I have to evaluate it's frequency using Wavelet transform. The most interesting frequencies are from 0.005 – 2 HZ and I want to evaluate their power…

I would like to plot a – 3D plot (frequency / time / power) – 2D plot

Please give me instructions to do that. Thank you!

Best Answer

Hi Marko, Do you have access to R2015b or later? If so, take a look at this example:

time-frequency analysis with CWT

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MATLAB: Value of scale in CWT

The relationship is far from straightforward. You can use scal2frq in the Wavelet Toolbox to get an approximate scale to frequency conversion for a specified wavelet. To guide you in constructing a scale vector to input into cwt.m, you should think about what scales you wish to investigate and how fine the spacing between those scales should be.

MATLAB: Wavelet

Hi Jaffino, the term "octave" as applied to the DWT is just referring to the dyadic scales. So you take all the coefficients at that scale. For example:

x = randn(1024,1);
[C,L] = wavedec(x,3,'db4');
d3 = detcoef(C,L,3);

d3 is the vector of coefficients at scale 3 (3rd octave). I think octave is a bit outdated now in the wavelet literature, better to refer to them as just scales.

Best Answer

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