Machine Learning, Signal Processing, Lms, Fft.
and outputs are complex, we need twice the number of samples at the input, arranged as real followed by imaginary. Since the outputs are also complex, we again 2 x NFFT samples. To train this neural network model, let us use random data generated using numpy.random.normal and set the labels based