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Paper data
QRD-based optimal filtering for acoustic noise reduction

Rombouts Geert, KULeuven/Esat-Sista
Moonen Marc, KULeuven/Esat-Sista

Page numbers in the proceedings:
Volume III pp 301-304

Speech Enhancement and Noise Reduction

Paper abstract
We present a new QRD-based technique for optimal multichannel filtering and its application to multi-channel acoustic noise reduction. A recursively calculated adaptive filter optimally estimates the speech component in a noisy signal. The complexity of this algorithm is an order of magnitude than that of existing optimal filtering based algorithms which are mainly based upon SVD-decompositions, while performance is kept at the same level.

A PDF version is available here