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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...
In this work, a novel genetic algorithm (GA) is proposed for the design of multiplierless linear phase finite impulse response (FIR) filters. The filters under consideration are of high order and wide coefficient wordlength. Both the single-stage and cascade form are considered. In a practical filter design problem, when the filter specification is stringent, requiring high filter order and wide coefficient...
In this work, a novel genetic algorithm (GA) is proposed for the design of multiplierless finite impulse response (FIR) filters with high filter order and wide coefficient wordlength. GA mimics the nature evolution to optimize complicated problems and in theory optimum solutions can be obtained with infinite computation time. However, in practical filter design problem, when the filter specification...
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