Computationally efficient adaptive system identification in subbands with intersubband tap assignment for undermodelled problems

Weiss, Stephan and Sorgel, Uwe and Stewart, Robert; Singh, A., ed. (1997) Computationally efficient adaptive system identification in subbands with intersubband tap assignment for undermodelled problems. In: 30th asilomar conference on signals, systems & computers. Conference record of the asilomar conference on signals, systems and computers . IEEE, USA, pp. 818-822. ISBN 0818676469

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Abstract

This paper presents an efficient approach to adaptive system identification in undermodelled cases, i.e. when the impulse response to be identified is too long to be represented by an adaptive FIR filter operating within the computational benchmarks of a DSP chip. Beyond computational savings gained from adaptive filtering in decimated subbands, the subband approach enables to use different filter lengths in the frequency bands through distribution of taps from an overall number of filter weights determined by the computational benchmark. Compared to a fullband filter of the same complexity, this method can greatly enhance the model representation of long impulse responses.

Creators(s): Weiss, Stephan ORCID logoORCID: https://orcid.org/0000-0002-3486-7206, Sorgel, Uwe and Stewart, Robert ORCID logoORCID: https://orcid.org/0000-0002-7779-8597; Singh, A.
Item type:Book Section
ID code:32704
Keywords:adaptive filters, adaptive signal processing , distributed computing , signal synthesis , computationally efficient, adaptive system identification, subbands, intersubband tap assignment, undermodelled problems , Electrical engineering. Electronics Nuclear engineering
Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
Department:Faculty of Engineering > Electronic and Electrical Engineering
Depositing user: Pure Administrator
Date deposited:19 Aug 2011 08:54
Last modified:05 Sep 2020 04:57
URI:https://strathprints.strath.ac.uk/id/eprint/32704
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