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Please to refer this video link. In my mind, the widths argument in cwt indicates the scale in wavelet equation.


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You should take the FFT on Is+j*Qs. If you have say 1000 IQ samples, you can form 1000 I+jQ complex values and take 1000 point FFT to get another set of 1000 complex numbers. If you plot magnitude of these output values, it will show you the frequency content of those 1000 IQ samples. Since you took 1000 point FFT, each of those complex output values ...


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"But i need to simulate the model at the rate of 12 samples per cycle of 50 Hz. What does that statement mean". This is just another way of saying how often you would want to sample the underlying physical process. In this case every cycle of a 50Hz signal you are required to collect 12 samples. Something like the figure below: So one period of 50Hz ...


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One cycle duration of 50Hz is 0.02seconds. So this means you need to take 12 samples in a duration of 0.02s. In one second, there will be 600 samples (sample rate of 600 samples per second).


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