The optimum running approximation of FIR filter banks and the mini-max theorem for weighted energy of Fourier transform of signals

摘要

We present a running discrete approximation of band-limited signals using a FIR filter bank that minimizes various worst-case measures of error simultaneously. The proof is given by the mini-max theorem in the functional analysis for the weighted energy of Fourier transforms of signals and the corresponding errors of approximation.