Sparse Linear Phase FIR Filter Design using Iterative CSA

Abstract

In this paper, sparse linear phase FIR Iowpass digital filter design using iterative cuckoo search algorithm with step-descendant coefficient thresholding is presented. During each iteration, the least-squares frequency response error is minimized using cuckoo search algorithm. A step-descendant coefficient threshold is used to iteratively update the zero-valued filter coefficients. With the same set of sparsity levels, the obtained design results indicate that smaller weighted least-squares errors and slightly smaller peak magnitude errors can be obtained when compared to those of a recent design method.