Abstract

This paper proposed a modified evolutionary technique formed by the hybridization of the bee colony technique and Nelder–Mead Simplex search technique to optimize the coefficients of Quadrature Mirror Filter (QMF). The performance of QMF can be evaluated in terms of error in the pass-band, stop-band and measure of ripple. A modified objective function is designed in this work, expressed as a weighted sum of errors in the pass-band, stop-band and measure of ripple. A modified objective function is minimized by using the proposed technique. The results obtained from the proposed technique are compared with the previously reported evolutionary optimization techniques based on QMF design. A significant improvement in various performance attributes has been attained compared to earlier reported QMF bank design techniques.

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