So I have a (visually) very noisy time series signal and I have applied the fast Fourier transform using numpy's
fft function. I am wondering why I am seeing the magnitude of the coefficient for the first frequency very large, actually equal to the number of samples ( 256 samples ) in the data, and the rest of the coefficients very low.
I am assuming this means there there is no periodic signal being extracted from the data, but I wanted to get a second opinion about it. How do I interpret this result? Maybe I am doing something wrong.