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Adaptive equalisation in oversampled subbands

Adaptive equalisation in oversampled subbands
Adaptive equalisation in oversampled subbands
The potential presence of fractional delays, non-minimum phase parts, and a colouring of the channel output can require adaptive equalizers to adapt very long filters, which can have slow convergence for LMS-type adaptive algorithms. These problems can be addressed by a subband approach to reduce computational complexity and improve convergence speed. We discuss, why amongst other possibilities of subband processing the oversampled approach is particularly appealing to significantly reduce computational complexity and improve convergence speed. Simulation results for typical systems found in acoustics and communication channels are presented and highlight the benefit of our method.
0-7803-5148-7
1058-6393
389-393
IEEE
Weiß, S.
a1716781-351d-41d2-8d67-3e3d34f16476
Dooley, S.R.
e56c8e07-05af-4e5a-aa9b-5b2b473a9055
Stewart, R.W.
c819965d-70b4-4689-8206-e6e444dcbf8e
Nandi, A.K.
7df60ee6-f7ef-4b7b-92d5-33a1b4398a68
Weiß, S.
a1716781-351d-41d2-8d67-3e3d34f16476
Dooley, S.R.
e56c8e07-05af-4e5a-aa9b-5b2b473a9055
Stewart, R.W.
c819965d-70b4-4689-8206-e6e444dcbf8e
Nandi, A.K.
7df60ee6-f7ef-4b7b-92d5-33a1b4398a68

Weiß, S., Dooley, S.R., Stewart, R.W. and Nandi, A.K. (1998) Adaptive equalisation in oversampled subbands. In Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284). IEEE. pp. 389-393 . (doi:10.1109/ACSSC.1998.750892).

Record type: Conference or Workshop Item (Paper)

Abstract

The potential presence of fractional delays, non-minimum phase parts, and a colouring of the channel output can require adaptive equalizers to adapt very long filters, which can have slow convergence for LMS-type adaptive algorithms. These problems can be addressed by a subband approach to reduce computational complexity and improve convergence speed. We discuss, why amongst other possibilities of subband processing the oversampled approach is particularly appealing to significantly reduce computational complexity and improve convergence speed. Simulation results for typical systems found in acoustics and communication channels are presented and highlight the benefit of our method.

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More information

Published date: October 1998
Additional Information: Organisation: IEEE Address: Monterey, California, USA
Venue - Dates: Thirty-Second Asilomar Conference on Signals, Systems and Computers, United States, 1998-11-01 - 1998-11-04
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 251919
URI: http://eprints.soton.ac.uk/id/eprint/251919
ISBN: 0-7803-5148-7
ISSN: 1058-6393
PURE UUID: 1bf981cf-20c1-4635-b6de-1884bef11ccd

Catalogue record

Date deposited: 08 Nov 2000
Last modified: 07 Apr 2020 16:37

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