Fast QRD-lattice-based unconstrained optimal filtering for acoustic noise reduction

We derive a fast QRD-least-squares lattice (QRD-LSL) based unconstrained optimal filtering algorithm for multichannel acoustic noise reduction. As known from the literature, the unconstrained optimal filtering approach is an alternative to the popular GSC beamforming, which does not rely on a priori...

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Veröffentlicht in:IEEE transactions on speech and audio processing 2005-11, Vol.13 (6), p.1130-1143
Hauptverfasser: Rombouts, G., Moonen, M.
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Moonen, M.
description We derive a fast QRD-least-squares lattice (QRD-LSL) based unconstrained optimal filtering algorithm for multichannel acoustic noise reduction. As known from the literature, the unconstrained optimal filtering approach is an alternative to the popular GSC beamforming, which does not rely on a priori information and hence possesses improved robustness. The optimal filtering problem involved is special in that the desired response signal is not known explicitly. The derivation of the QRD-LSL algorithm is based on a significantly reorganized version of a QRD-RLS-based unconstrained optimal filtering scheme. Overall an order of magnitude complexity reduction is obtained without any performance penalty, which makes this new approach affordable for real time implementation.
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ispartof IEEE transactions on speech and audio processing, 2005-11, Vol.13 (6), p.1130-1143
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subjects Acoustic noise
Adaptive filters
Algorithms
Applied sciences
Array signal processing
Background noise
Communication system control
Control system synthesis
Derivation
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Filtering
Filtration
GSC beamforming
Information, signal and communications theory
Lattices
Microphone arrays
multichannel acoustic noise reduction
Optimization
QRD-least-squares lattice (QRD-LSL)
Reduction
Robustness
Signal and communications theory
Signal, noise
Speech enhancement
Telecommunications and information theory
title Fast QRD-lattice-based unconstrained optimal filtering for acoustic noise reduction
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