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The Discrete Fourier Transform (DFT) converts a length-N sequence from the time (or spatial) domain into N complex frequency coefficients that describe how much of each sinusoid is present.
Spectral analysis studies the distribution of eigenvalues and singular values of neural network weight matrices during training.