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.

## Recommended Answers

Jump to PostErr... 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 …

Jump to PostHmm... I implemented the neural network in Lisp :P Though, the concept of how to do it can be found at wikipedia. You could also look for any AI book which will teach …

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