Title :
Pipelined LMS adaptive filter using a new look-ahead transformation
Author :
Matsubara, Katsushige ; Nishikawa, Kiyoshi ; Kiya, Hitoshi
fDate :
1/1/1999 12:00:00 AM
Abstract :
This paper proposes an adaptive least mean square (LMS) algorithm that can he pipelined and has an efficient architecture for hardware implementation. The proposed algorithm shows the possibility of having LMS algorithms perform pipelined processing without degrading the convergence characteristics. An architecture based on the proposed algorithm is considered
Keywords :
adaptive filters; adaptive signal processing; digital filters; filtering theory; least mean squares methods; pipeline processing; adaptive LMS algorithm; adaptive least mean square algorithm; convergence characteristics; efficient architecture; look-ahead transformation; pipelined LMS adaptive filter; pipelined processing; Adaptive filters; Convergence; Degradation; Delay effects; Digital filters; Hardware; Least squares approximation; Signal processing; Signal processing algorithms; Throughput;
Journal_Title :
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
