tailieunhanh - Báo cáo hóa học: " Digital IIR Filter Design Using Differential Evolution Algorithm"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Digital IIR Filter Design Using Differential Evolution Algorithm | EURASIP Journal on Applied Signal Processing 2005 8 1269-1276 2005 Hindawi Publishing Corporation Digital IIR Filter Design Using Differential Evolution Algorithm Nurhan Karaboga Department of Electronic Engineering Faculty of Engineering Erciyes University 38039 Melikgazi Kayseri Turkey Email nurhan_k@ Received 14 May 2004 Revised 3 December 2004 Recommended for Publication by Ulrich Heute Any digital signal processing algorithm or processor can be reasonably described as a digital filter. The main advantage of an infinite impulse response IIR filter is that it can provide a much better performance than the finite impulse response FIR filter having the same number of coefficients. However they might have a multimodal error surface. Differential evolution DE algorithm is a new heuristic approach mainly having three advantages finding the true global minimum of a multimodal search space regardless of the initial parameter values fast convergence and using a few control parameters. In this work DE algorithm has been applied to the design of digital IIR filters and its performance has been compared to that of a genetic algorithm. Keywords and phrases digital IIR filter design evolutionary algorithms differential evolution genetic algorithm. 1. INTRODUCTION Anything that contains information can be considered as a signal. Therefore signals arise in almost every field of science and engineering. Two general classes of signals can be identified namely continuous-time and discrete-time signals. A discrete-time signal is one that is defined at discrete instants of time. The numerical manipulation of signals and data in discrete-time signals is called digital signal processing DSP . The extraordinary growth of microelectronics and computing has had a major impact on DSP. Therefore DSP has already moved from being primarily a specialist research topic to a one with practical applications in many disciplines. Almost any DSP algorithm or processor can reasonably