A frequency-weighted block LMS algorithm and its application to speech processing

1 June 1985

journal article
Published by Institute of Electrical and Electronics Engineers (IEEE) in Proceedings of the IEEE

Vol. 73 (6) , 1137-1138
https://doi.org/10.1109/PROC.1985.13245

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

LEAST SQUARES APPROXIMATION
SPEECH PROCESSING
DIGITAL FILTERS
FREQUENCY DOMAIN ANALYSIS
CONVERGENCE
ADAPTIVE FILTERS
NONLINEAR FILTERS
SAMPLING METHODS
PREDICTION ALGORITHMS
TRANSVERSAL FILTERS

This publication has 0 references indexed in Scilit: