# how to extract a radio signal features with python?

I have a dataset of radio signals that i want to classify. So, I decided to extract features. After some googling, I have noticed that I have to calculate moments, cumulants, Kutosis and skewness to use them as features.

for the moments I found that there is a function called scipy.stats.moment/. But then, I found another code :

def moment(sample, p, q):
m = np.mean((sample**(p-q)) * (np.conjugate(sample)**q))
return m


what is the difference between the 2 functions? and do I calculate the cumulants basing on the moments?

for the skewness and Kurtosis what do they really represents? Are there any other features that could help?

• I would assume scipy handles real-valued data, which is a special case of complex data - and your function is supposed to provide moments for a complex variable/signal. – M529 Aug 20 '19 at 14:21