Title :
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
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;
Conference_Titel :
Signal Processing, 1996., 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-2912-0
DOI :
10.1109/ICSIGP.1996.567101
