Paper Info
Title
QRD-based optimal filtering for acoustic noise reduction
Abstract
We present a new QRD-based technique for optimal multichannel filtering and its application to multichannel 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.
Year
Venue
Keywords
2002
EUSIPCO
adaptive filters,filtering theory,noise abatement,signal denoising,singular value decomposition,speech processing,qrd-based optimal filtering,svd-decompositions,multichannel acoustic noise reduction,noisy signal,optimal multichannel filtering,recursive calculated adaptive filter,speech component
Field
DocType
ISSN
Median filter,Pattern recognition,Computer science,Filter (signal processing),Artificial intelligence,Adaptive filter,Order of magnitude,Acoustic noise reduction,Recursion
Conference
2219-5491
Citations 
PageRank 
References 
3
0.67
0
Authors
2
Name
Order
Citations
PageRank
Geert Rombouts116714.46
Marc Moonen23673326.91