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Low footprint delayless subband adaptive filter

Sepehr, H; Pakbaz, B; Brennan, PV; (2010) Low footprint delayless subband adaptive filter. In: (pp. pp. 432-437). IEEE: Piscataway, US.

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Adaptive filters are widely used for modelling an unknown system. Performance and complexity of adaptive filters are major problems when the length of adaptive filters becomes long. Delayless subband adaptive filters are introduced to reduce the complexity of adaptive filters while removing the processing delay inherent in subband processing. In this paper, a new adaptation method for a delayless subband adaptive structure is proposed which substantially reduces the memory foot print and to some extent computational load of the delayless algorithm. This is achieved by removing the adaptive weights in subband and performing adaptation in full band by use of subband data. Additionally, by modifying the adaptation algorithm with minimal computational overhead, performance of the proposed algorithm is improved in respect to speed of convergence. Suggested method is compared against two other delayless algorithms and similar or faster speed of convergence is achieved with the proposed method which has lower complexity.

Type: Proceedings paper
Title: Low footprint delayless subband adaptive filter
ISBN-13: 9781424489329
DOI: 10.1109/SIPS.2010.5624886
Publisher version: http://dx.doi.org/10.1109/SIPS.2010.5624886
UCL classification: UCL > School of BEAMS
UCL > School of BEAMS > Faculty of Engineering Science
URI: http://discovery.ucl.ac.uk/id/eprint/74313
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