An improved particle swarm optimization method for multirate filter bank design

In this paper, a new particle swarm optimization (PSO) based method is proposed for the design of a two-channel linear phase quadrature mirror filter (QMF) bank in frequency domain. The origional particle swarm optimization technique is modified by introducing the concept of Scout Bee from Artificial Bee Colony (ABC) technique for designing a low pass prototype filter having ideal filter characteristics in the passband and stopband regions, and its magnitude response at quadrature frequency is 0.707. The design problem is formulated as a linear combination of passband error and residual stop band energy of the low pass filter, and the square error of the overall transfer function of the QMF bank at the quadrature frequency pi/2, in the transition band. The design results included in the paper clearly show the improvement of the proposed PSO technique over earlier reported results. (C) 2013 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.