Title :
A complementary pair LMS algorithm for adaptive filtering
Author :
Song, Woo-Jin ; Park, Min-Soo
Author_Institution :
Dept. of Electr. Eng., Pohang Univ. of Sci. & Technol., South Korea
Abstract :
This paper presents a new algorithm that can solve the problem of selecting appropriate update step size in the LMS algorithm. The proposed algorithm, called a complementary pair LMS (CP-LMS) algorithm, consists of two adaptive filters with different update step sizes operating in parallel, one filter re-initializing the other with the better coefficient estimates whenever possible. This new algorithm provides the faster convergence speed and the smaller steady-state error than those of a single filter with a fixed or variable step size
Keywords :
FIR filters; adaptive filters; adaptive signal processing; convergence of numerical methods; error analysis; filtering theory; least mean squares methods; FIR filter; adaptive filtering; adaptive filters; coefficient estimates; complementary pair LMS algorithm; convergence speed; fixed step size; steady-state error; update step size; variable step size; Adaptive filters; Additive noise; Equations; Estimation error; Filtering algorithms; Finite impulse response filter; Least squares approximation; Signal to noise ratio; Steady-state; System identification;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
Print_ISBN :
0-8186-7919-0
DOI :
10.1109/ICASSP.1997.599502
