A robust dual predictive line acoustic noise cancellers

Authors:
Marwan A. Jaber;Daniel Massicotte
Affiliations:
Université du Québec à Trois-Rivières, Electrical and Computer Engineering Department, Laboratory of Signal and System Integrations, Québec, Canada;Université du Québec à Trois-Rivières, Electrical and Computer Engineering Department, Laboratory of Signal and System Integrations, Québec, Canada
Venue:
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Year:
2009

Citing 3
Cited 0

Adaptive signal processing

Adaptive signal processing
Adaptive filter theory

Adaptive filter theory
A Hybrid LMS-LMF Scheme for Echo Cancellation

ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 3 - Volume 3

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Abstract

This paper proposes a robust adaptive algorithm for adjusting coefficients of an adaptive filter, which is used in Active Noise Canceller (ANC). The filtered LMS algorithm, which is widely used in digital signal processing, is deployed to reduce the effect of acoustic interference in a noisy environment. In this paper the zero noise output of the proposed one and two stages Dual Predictive Line ANC (DfL-ANC) algorithm, which could be deployed in underground communication system, is presented. A second DPL-ANC using voice activity detection (VAD) to control the updated filter coefficients is also proposed. Evaluation results with real-world underground and noisy speech data exhibit significant improvement on the convergence and the zero noise output of both proposed two stages DPL-ANC.