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Adaptive System Identification with Tap-Assignment in Oversampled and Critically Sampled Subbands

Adaptive System Identification with Tap-Assignment in Oversampled and Critically Sampled Subbands
Adaptive System Identification with Tap-Assignment in Oversampled and Critically Sampled Subbands
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 generalisation of previous work to extend tap-assignment algorithms to a new class of oversampled filter banks with non-uniform bandwidths and different subsampling rations. We compare efficiency and adaptation results for this approach to the critically sampled case and a fullband identification with same complexity.
148-151
Weiss, S
a1716781-351d-41d2-8d67-3e3d34f16476
Harteneck, M
9b15e378-31d8-4e37-8042-5e386a292a4a
Stewart, R W
c819965d-70b4-4689-8206-e6e444dcbf8e
Weiss, S
a1716781-351d-41d2-8d67-3e3d34f16476
Harteneck, M
9b15e378-31d8-4e37-8042-5e386a292a4a
Stewart, R W
c819965d-70b4-4689-8206-e6e444dcbf8e

Weiss, S, Harteneck, M and Stewart, R W (1997) Adaptive System Identification with Tap-Assignment in Oversampled and Critically Sampled Subbands. International Workshop on Acoustic Echo and Noise Control. pp. 148-151 .

Record type: Conference or Workshop Item (Other)

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 generalisation of previous work to extend tap-assignment algorithms to a new class of oversampled filter banks with non-uniform bandwidths and different subsampling rations. 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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More information

Published date: September 1997
Additional Information: Organisation: IEEE Signal Processing Society, IEE Address: London, UK
Venue - Dates: International Workshop on Acoustic Echo and Noise Control, 1997-09-01
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 251910
URI: http://eprints.soton.ac.uk/id/eprint/251910
PURE UUID: 4b9ca48b-dbb1-4955-816b-1e3ec55a3f12

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Date deposited: 08 Nov 2000
Last modified: 14 Mar 2024 05:13

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Contributors

Author: S Weiss
Author: M Harteneck
Author: R W Stewart

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