Fast Sequential Least Squares Design of FIR Filters with Linear Phase

고속순차 최소자승법에 의한 선형위상 유한응답 여파기의 설계

In this paper we propose a fast adaptive least squares algorithm for linear phase FIR filters. The algorithm requires 10m multiplications per data point where m is the filter order. Both linear phase cases with constant phase delay and constant group delay are examined. Simulation results demonstrate that the proeposed algorithm is superior to the LMS gradient algorithm and the averaging scheme used for the modified fast Kalman algorithm.