Efficient Subband Adaptive Filtering with Oversampled GDFT Filter Banks


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.

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Description/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.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: Organisation: IEE Address: London, Uk
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science
ePrint ID: 251911
Date Deposited: 08 Nov 2000
Last Modified: 27 Mar 2014 19:53
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/251911

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