Digital IIR filter design using adaptive simulated annealing

Adaptive infinite-impulse-response (IIR) filtering provides a powerful appr oach for solving a variety of practical problems. Because the error surface of IIR filters is generally multimodal, global optimization techniques are required in order to avoid local minima. We apply a global optimization me thod, called the adaptive simulated annealing (ASA), to digital IIR filter design. An important advantage of the ASA is the simplicity in software pro gramming. Simulation study involving system identification application show s that the proposed approach is accurate and has a fast convergence rate, a nd the results obtained demonstrate that the ASA offers a viable tool to di gital IIR filter design. (C) 2001 Academic Press.