Teaching Learning Based Optimization Algorithm for the Optimal Design of Higher Order BP and BS IIR Digital Filter

摘要

Digital filter is an integral component of digital signal processing system. Digital infinite impulse response (IIR) filter has the advantages of high selectivity and less computation cost as compared to finite impulse response (FIR) filter. In this paper Teaching-Learning opposition based optimization (TLOBO) algorithm is applied to design the optimal higher order band pass (BP) and band stop (BS) IIR filter in terms of magnitude response. The original Teaching- Learning Based Optimization (TLBO) algorithm has been retailored by blending the concept of opposition-based learning for selection of good candidates. TLOBO does not require the determination of any algorithm specific controlling parameters which makes the algorithm robust and powerful. The computational experiments show that the proposed TLOBO is superior to other heuristic algorithms and can be efficiently used for digital IIR filter design.