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Efficient Subband Adaptive Filtering with Oversampled GDFT Filter Banks

Efficient Subband Adaptive Filtering with Oversampled GDFT Filter Banks
Efficient Subband Adaptive Filtering with Oversampled GDFT Filter Banks
This paper addresses the numerical efficiency of adaptive filtering implemented in subbands. Our approach first focuses on oversampled GDFT filter banks and their potential benefits over other possible subband decompositions. Although the subbands filters presented use complex arithmetic, the discussed method allows factorisation into a real valued prototype polyphase network, followed by a complex GDFT modulation, which can be mostly implemented via an FFT. Secondly we discuss the advantages and potential savings that can be gained by processing complex subband signals, with particular reference to adaptive system identification problems, for which we give demonstrations of the potential benefits of our GDFT approach compared to adaptive identification in both fullband and critically sampled DCT-IV based pseudo-QMF subbands.
4/1-4/9
Weiss, S
a1716781-351d-41d2-8d67-3e3d34f16476
Lampe, L
7c513a47-5390-4958-a9f8-abe9e0f4117f
Stewart, R W
c819965d-70b4-4689-8206-e6e444dcbf8e
Weiss, S
a1716781-351d-41d2-8d67-3e3d34f16476
Lampe, L
7c513a47-5390-4958-a9f8-abe9e0f4117f
Stewart, R W
c819965d-70b4-4689-8206-e6e444dcbf8e

Weiss, S, Lampe, L and Stewart, R W (1997) Efficient Subband Adaptive Filtering with Oversampled GDFT Filter Banks. Colloquium on Adaptive Signal Processing for Mobile Communication Systems. 4/1-4/9 .

Record type: Conference or Workshop Item (Other)

Abstract

This paper addresses the numerical efficiency of adaptive filtering implemented in subbands. Our approach first focuses on oversampled GDFT filter banks and their potential benefits over other possible subband decompositions. Although the subbands filters presented use complex arithmetic, the discussed method allows factorisation into a real valued prototype polyphase network, followed by a complex GDFT modulation, which can be mostly implemented via an FFT. Secondly we discuss the advantages and potential savings that can be gained by processing complex subband signals, with particular reference to adaptive system identification problems, for which we give demonstrations of the potential benefits of our GDFT approach compared to adaptive identification in both fullband and critically sampled DCT-IV based pseudo-QMF subbands.

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More information

Published date: October 1997
Additional Information: Organisation: IEE Address: London, Uk
Venue - Dates: Colloquium on Adaptive Signal Processing for Mobile Communication Systems, 1997-10-01
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 251911
URI: http://eprints.soton.ac.uk/id/eprint/251911
PURE UUID: e38562df-9732-461e-b14f-b79952edd6b1

Catalogue record

Date deposited: 08 Nov 2000
Last modified: 02 Dec 2019 21:13

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Contributors

Author: S Weiss
Author: L Lampe
Author: R W Stewart

University divisions

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