In this paper, we present a new method of predictive deconvolution based on high order statistics, and apply it on echo cancellation. The traditional predictive deconvolution is based on the assumption that the observed signal and the estimated signal are orthogonal. Since the speech signals have the property of nongaussianity, we can design an improved predictive deconvolution based on high order statistics to achieve a better result. Experiment result shows that the proposed method can remove the echo from the observed signals better than using the traditional predictive deconvolution.
Echo Cancellation Using Predictive Deconvolution Based on High Order Statistics
2008 Congress on Image and Signal Processing ; 5 ; 324-327
2008-05-01
283346 byte
Conference paper
Electronic Resource
English
Higher Order Cumulants in Echo Cancellation
British Library Online Contents | 1999
|ClearSpeech - Acoustic Echo Cancellation
Online Contents | 2000
Comparison of echo cancellation algorithms for the adaptive delay filter
Automotive engineering | 1992
|Extreme springing response statistics of a tethered platform by deconvolution
DOAJ | 2023
|Adaptive IIR digital filters with saturation outputs for noise and echo cancellation
IET Digital Library Archive | 2002
|