I need to implement an algorithm for automatic modulation recognition using matlab. I am planning to do this by using pattern recognition, I have read about the decision tree approach, it says to "ideniify the constant envelope signals (CW, FM, FSK). PSK sigals are
not considered as constant envelope signals, since in practice
they are band-limited, which leads to a non-constant
envelope. The feature used to identify the envelope variations
is the maximum of the squared Fourier transform of the
normalized signal amplitudes "
How can i implement this technique in matlab, i need help with the code. I also need to calculate the instantaneous freq/phase, etc. I am using a .wav file.
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Err... It's been 2 years since I coded Matlab last time... You are going to create a learning agent by passing some sample data for it to learn using decision tree? If you are going to use decision tree, you must be sure that you can find all factors and …
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