Title :
Modified LMS algorithms for high speed underwater acoustic signal processing
Author :
Sang, En-fang ; Yeh, Hen-geul
Abstract :
Several modified Least Mean Square (LMS) algorithms are studied in order to improve the rate of convergence of the regular LMS algorithm. The performance of these modified LMS algorithms is evaluated by simulations. It shows that the error feedback LMS algorithm converges much faster then all other modified LMS algorithms including regular LMS algorithm
Keywords :
acoustic signal processing; convergence of numerical methods; least squares approximations; sonar; underwater sound; convergence; error feedback LMS algorithm; high speed underwater acoustic signal processing; modified LMS algorithms; modified least mean square algorithms; Acoustic noise; Acoustic signal processing; Adaptive signal processing; Convergence; Iterative algorithms; Least squares approximation; Signal processing; Signal processing algorithms; Signal to noise ratio; Underwater acoustics;
Conference_Titel :
OCEANS '93. Engineering in Harmony with Ocean. Proceedings
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-1385-2
DOI :
10.1109/OCEANS.1993.326102
