I have a doubt regarding wavelet transform.
If we have power constraints while making an algorithm , is it advisable to go with time domain features, or frequency domain features.
Will Wavelet based feature extraction and processing consume more power when incorporated in a Micro Controller Unit?
Or does it depend on the type of wavelet used?
Thank You and Regards
The power requirement of wavelet transform is usually higher than both the time and frequency domain features. This is because the Wavelet Transform provides a more detailed picture of the data compared to the other two methods. For example, the Wavelet Transform can provide detailed information about the frequency components of the signal over different time intervals, which cannot be obtained from the other two methods. It can also provide information about the local variations in the signal, which is not available from the time or frequency domain features.
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