Title :
On the asymptotic analysis of the smoothed least mean square algorithm and the relation with other LMS-type algorithms
Author :
Chung, Ikjoo ; Ann, Souguil
Author_Institution :
Dept. of Electron. Eng., Seoul Nat. Univ., South Korea
fDate :
12/1/1991 12:00:00 AM
Abstract :
The asymptotic performance of the smoothed least mean square (SLMS) algorithm is investigated. It is found that the convergence speed of the SLMS algorithm is approximately equal to that of LMS algorithm in practical applications. Based on the results obtained, the relation between the SLMS algorithm and other LMS-type algorithms is considered
Keywords :
convergence of numerical methods; least squares approximations; LMS-type algorithms; SLMS algorithm; asymptotic analysis; convergence speed; smoothed least mean square algorithm; Algorithm design and analysis; Circuit noise; Digital filters; Floating-point arithmetic; Lattices; Least mean square algorithms; Performance analysis; Signal processing; Signal processing algorithms; Speech processing;
Journal_Title :
Circuits and Systems, IEEE Transactions on
