作者: Ruijie Zhao , Xiaoping Lai
DOI: 10.1007/S11045-010-0128-X
关键词: Finite impulse response 、 Mathematics 、 Optimal design 、 Algorithm 、 Linear phase 、 Rate of convergence 、 Filter (signal processing) 、 Computational complexity theory 、 Weighting 、 Iterative method 、 Mathematical optimization
摘要: High computational complexity is a major problem encountered in the optimal design of two-dimensional (2-D) finite impulse response (FIR) filters. In this paper, we present an iterative matrix solution with very low to weighted least square (WLS) 2-D quadrantally symmetric FIR filters two-valued weighting functions. Firstly, necessary and sufficient condition for WLS general nonnegative functions obtained. Then, based on optimality condition, novel algorithm derived function. Because filter parameters are arranged their natural form transition band not sampled, computation amount proposed reduced significantly, especially high-order The exponential convergence established, its estimated. Design examples demonstrating rate accuracy algorithm, as well relation between iteration number size transition-band width given.