An adaptive estimation algorithm on source waveform in reverberant space

Author

Li, W. ; Poon, J.C.H. ; Siu, W.C.

Author_Institution

Dept. of Electron. Eng., Hong Kong Polytech., Hung Hom, Hong Kong

Volume

1

fYear

1996

Firstpage

201

Abstract

In this paper, we present an adaptive algorithm to estimate a single unknown source in reverberant space. In our algorithm, two receivers are required to measure the source signal, and the channel characteristics are represented by the FIR equations. It is designed that there would be no restrictions imposed on the source signal. In the experiment, it has been shown the adaptive algorithm can achieve convergence in a relatively short time

Keywords

FIR filters; adaptive estimation; adaptive signal processing; convergence of numerical methods; echo suppression; least squares approximations; parameter estimation; prediction theory; speech processing; FIR equations; adaptive estimation algorithm; channel characteristics; convergence; echo cancellation; gradient method; prediction model; receivers; recursive weighted least squares method; reverberant space; single unknown source; source signal; source waveform; speech; Acoustic applications; Adaptive algorithm; Adaptive estimation; Blind equalizers; Data models; Equations; Finite impulse response filter; Parameter estimation; Predictive models; Speech processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 1996., 3rd International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-2912-0

Type

conf

DOI

10.1109/ICSIGP.1996.567101

Filename

567101