![]() Proposed FIR BS filter using L1-RCGA outperforms the existing optimization techniques, the Passband, high stopband attenuation and fast convergence. The designed filter pursues a better response in terms of flat In filter design with same specifications. ![]() This leads to a global optimal solution along with the improvement Gradient-based optimization methods of filter design, it is applied here with a novel fitnessįunction based on the L1-norm. ![]() In this paper, an optimal design of linear phase digital finite impulse response (FIR)īand stop (BS) filter using the L1-norm based real-coded genetic algorithm (L1-RCGA) is presented.Īlthough RCGA has proved its ability to overcome the drawbacks associated with conventional
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