Fast adaptation of frequency-domain volterra filters using inherent recursions of iterated coefficient updates | IEEE Conference Publication | IEEE Xplore

Fast adaptation of frequency-domain volterra filters using inherent recursions of iterated coefficient updates


Abstract:

Adaptive Volterra filters are a popular model for compensating distortions caused by nonlinear structures with memory such as low-quality loudspeakers. This paper propose...Show More

Abstract:

Adaptive Volterra filters are a popular model for compensating distortions caused by nonlinear structures with memory such as low-quality loudspeakers. This paper proposes a fast version of the recently investigated repeated coefficient updates for the partitioned block frequency-domain adaptive Volterra filter. Exploiting inherent recursions of the iteration procedure yields an efficient realization with a very low additional complexity compared to the usual LMS adaptation. Experimental results for both noise and speech demonstrate a significant acceleration of the filter convergence and overall echo cancellation for realistic nonlinear AEC scenarios.
Date of Conference: 03-07 September 2007
Date Added to IEEE Xplore: 04 May 2015
Print ISBN:978-839-2134-04-6
Conference Location: Poznan, Poland

1. Introduction

Adaptive Volterra filters are a well-known model for identification and compensation of signal distortions caused by nonlinear structures with memory. A typical application scenario is given by nonlinear acoustic echo cancellation (NLAEC) as depicted in Fig. 1, where an adaptive second-order Volterra filter is used to compensate for the nonlinear echo recorded by the microphone signal .

NLAEC scenario where the nonlinear echo , is to be compensated by an adaptive Volterra filter (PBFDAVF)

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References

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