Machine Learning, Signal Processing, Lms, Fft.
algorithm We will use a L=64 tap filter to predict the next sample. We don’t need that large a filter, but let us keep the number of inputs per output sample same as what we used for neural network. The filter coefficients (or weights) are obtained by computing the error between predicted and