Title :
A frequency-weighted block LMS algorithm and its application to speech processing
Author :
Lee, I.C. ; Un, C.K. ; Cho, D.-H.
Author_Institution :
Korea Advanced Institute of Science and Technology, Seoul, Korea
fDate :
6/1/1985 12:00:00 AM
Abstract :
In this letter, we propose a frequency-weighted block LMS (FWBLMS) algorithm that is based on minimization of the frequency-weighted block mean-squared error. The FWBLMS algorithm has an important advantage over the time-domain LMS algorithm in that it can be designed with different frequency weighting on error signal depending on the relative significance of various frequency bands. Application of the FWBLMS algorithm in adaptive linear prediction of speech is discussed.
Keywords :
Adaptive filters; Convergence; Digital filters; Frequency domain analysis; Least squares approximation; Nonlinear filters; Prediction algorithms; Sampling methods; Speech processing; Transversal filters;
Journal_Title :
Proceedings of the IEEE
DOI :
10.1109/PROC.1985.13245