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Sparse patterns for digital filters have been suggested to reduce the computational cost. However, the minimization of the number of non-zero coefficients under required filter order and frequency domain constraints is difficult to be accomplished in polynomial time in many cases. In this paper, a two-stage design based on Genetic Algorithm (GA) is proposed to search for the optimal solution with...
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