Adaptive system identification with tap-assignment in oversampled and critically sampled subbands

Stephan Weiss; M Harteneck; Robert Stewart

Adaptive system identification with tap-assignment in oversampled and critically sampled subbands

Stephan Weiss, M Harteneck, Robert Stewart

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

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Abstract

Adaptation of the tap profile in subband adaptive system identification problems can further enhance the efficient use of computational resources if implemented on a DSP with an otherwise too tight benchmark performance. Here, we derive a generalization of previous work to extend tap-assignment algorithms to a new class of oversampled filter banks with non-uniform bandwidths and different subsampling ratios. We compare efficiency and adaptation results for this approach to the critically sampled case and a fullband identification with same complexity.

Original language	English
Title of host publication	Proceedings of the 5th international workshop on acoustic echo and noise control
Place of Publication	London
Pages	148-151
Number of pages	4
Publication status	Published - 1997
Event	IWAENC97: 1997 International Workshop on Acoustic Echo and Noise Control - London, United Kingdom Duration: 1 Jan 1997 → …

Conference

Conference	IWAENC97: 1997 International Workshop on Acoustic Echo and Noise Control
Country	United Kingdom
City	London
Period	1/01/97 → …

Keywords

adaptive systems
adaptive system identification
tap-assignment algorithms
fullband identification

Access to Document

Weiss97bFinal published version, 487 KB

http://www.iwaenc.org/proceedings/1997/iwaenc97/html/ae97s104.htm#p0043

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Cite this

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title = "Adaptive system identification with tap-assignment in oversampled and critically sampled subbands",

abstract = "Adaptation of the tap profile in subband adaptive system identification problems can further enhance the efficient use of computational resources if implemented on a DSP with an otherwise too tight benchmark performance. Here, we derive a generalization of previous work to extend tap-assignment algorithms to a new class of oversampled filter banks with non-uniform bandwidths and different subsampling ratios. We compare efficiency and adaptation results for this approach to the critically sampled case and a fullband identification with same complexity.",

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KW - fullband identification

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