ABSTRACT
This chapter considers certain aspects of adaptive digital filtering. It also considers the use of Stochastic Learning Automaton (SLA) genetic and evolutionary algorithms in the design of adaptive infinite impulse response (IIR) filters. The chapter presents results using the SLA approach to adaptive filtering. It examines the methodologies and results obtained using the evolutionary optimisation schemes for the adaptive IIR filtering case. The chapter also presents results obtained using SLA as the adaptive technique for adaptive filtering. The algorithms relating to adaptive FIR filtering are well established and are extensively used in various applications. Adaptive IIR algorithms are still an active area of research and are in the process of establishing themselves as a viable alternative in certain applications to adaptive FIR algorithms. The error signal obtained using constituent parameters as coefficients of the adaptive filter is then used as the fitness measure for the string.
