Adaptive filter bank reconstruction using fast multichannel RLS algorithms

Dah Chung Chang; Wen Rong Wu

doi:10.1049/el:19980877

Adaptive filter bank reconstruction using fast multichannel RLS algorithms

Dah Chung Chang, Wen Rong Wu

Department of Communication Engineering

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

The recursive least-squares (RLS) algorithm has been used in the adaptive synthesis filter bank for fast convergence. However, because of interpolation operations involved in the synthesis process, fast RLS algorithms cannot be applied. In this Letter, an approach is proposed that can formulate subband signal reconstruction as a multichannel filtering problem. This formulation allows the application of fast multichannel RLS algorithms and substantial reduction in computational complexity.

Original language	English
Pages (from-to)	1213-1214
Number of pages	2
Journal	Electronics Letters
Volume	34
Issue number	12
DOIs	https://doi.org/10.1049/el:19980877
State	Published - 11 Jun 1998

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title = "Adaptive filter bank reconstruction using fast multichannel RLS algorithms",

abstract = "The recursive least-squares (RLS) algorithm has been used in the adaptive synthesis filter bank for fast convergence. However, because of interpolation operations involved in the synthesis process, fast RLS algorithms cannot be applied. In this Letter, an approach is proposed that can formulate subband signal reconstruction as a multichannel filtering problem. This formulation allows the application of fast multichannel RLS algorithms and substantial reduction in computational complexity.",

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AU - Wu, Wen Rong

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N2 - The recursive least-squares (RLS) algorithm has been used in the adaptive synthesis filter bank for fast convergence. However, because of interpolation operations involved in the synthesis process, fast RLS algorithms cannot be applied. In this Letter, an approach is proposed that can formulate subband signal reconstruction as a multichannel filtering problem. This formulation allows the application of fast multichannel RLS algorithms and substantial reduction in computational complexity.

AB - The recursive least-squares (RLS) algorithm has been used in the adaptive synthesis filter bank for fast convergence. However, because of interpolation operations involved in the synthesis process, fast RLS algorithms cannot be applied. In this Letter, an approach is proposed that can formulate subband signal reconstruction as a multichannel filtering problem. This formulation allows the application of fast multichannel RLS algorithms and substantial reduction in computational complexity.

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Adaptive filter bank reconstruction using fast multichannel RLS algorithms

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