Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/TSA.2005.853202 | IEEE Transactions on Speech and Audio Processing |
Keywords | Field | DocType |
acoustic noise,acoustic signal processing,array signal processing,filtering theory,least squares approximations,signal denoising,telecommunication channels,LSL based unconstrained optimal filtering algorithm,QRD-least-squares lattice,multichannel acoustic noise reduction,popular GSC beamforming,real time implementation,GSC beamforming,QRD-least-squares lattice (QRD-LSL),multichannel acoustic noise reduction | Noise,Noise reduction,Beamforming,Computer science,Filter (signal processing),Filtering problem,Speech recognition,Reduction (complexity),Robustness (computer science),QR decomposition | Journal |
Volume | Issue | ISSN |
13 | 6 | 1063-6676 |
Citations | PageRank | References |
3 | 0.53 | 7 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Geert Rombouts | 1 | 167 | 14.46 |
| Marc Moonen | 2 | 3673 | 326.91 |