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

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

2 Citations (Scopus)

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.
LanguageEnglish
Title of host publication30th asilomar conference on signals, systems & computers
EditorsA. Singh
Place of PublicationNew York
PublisherIEEE
Pages818-822
Number of pages5
ISBN (Print)0818676469
DOIs
Publication statusPublished - 1997
Event30th Asilomar Conference on Signals, Systems, and Computers - Pacific Grove, CA, United States
Duration: 3 Nov 19966 Nov 1996

Publication series

NameConference record of the asilomar conference on signals, systems and computers
PublisherIEEE
ISSN (Print)1058-6393

Conference

Conference30th Asilomar Conference on Signals, Systems, and Computers
CountryUnited States
CityPacific Grove, CA
Period3/11/966/11/96

Fingerprint

Adaptive systems
Impulse response
Identification (control systems)
Adaptive filtering
FIR filters
Digital signal processors
Adaptive filters
Frequency bands

Keywords

  • adaptive filters
  • adaptive signal processing
  • distributed computing
  • signal synthesis
  • computationally efficient
  • adaptive system identification
  • subbands
  • intersubband tap assignment
  • undermodelled problems

Cite this

Weiss, S., Sorgel, U., & Stewart, R. (1997). Computationally efficient adaptive system identification in subbands with intersubband tap assignment for undermodelled problems. In A. Singh (Ed.), 30th asilomar conference on signals, systems & computers (pp. 818-822). (Conference record of the asilomar conference on signals, systems and computers). New York: IEEE. https://doi.org/10.1109/ACSSC.1996.599058
Weiss, Stephan ; Sorgel, Uwe ; Stewart, Robert. / Computationally efficient adaptive system identification in subbands with intersubband tap assignment for undermodelled problems. 30th asilomar conference on signals, systems & computers. editor / A. Singh. New York : IEEE, 1997. pp. 818-822 (Conference record of the asilomar conference on signals, systems and computers).
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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.",
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Weiss, S, Sorgel, U & Stewart, R 1997, Computationally efficient adaptive system identification in subbands with intersubband tap assignment for undermodelled problems. in A Singh (ed.), 30th asilomar conference on signals, systems & computers. Conference record of the asilomar conference on signals, systems and computers, IEEE, New York, pp. 818-822, 30th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, United States, 3/11/96. https://doi.org/10.1109/ACSSC.1996.599058

Computationally efficient adaptive system identification in subbands with intersubband tap assignment for undermodelled problems. / Weiss, Stephan; Sorgel, Uwe; Stewart, Robert.

30th asilomar conference on signals, systems & computers. ed. / A. Singh. New York : IEEE, 1997. p. 818-822 (Conference record of the asilomar conference on signals, systems and computers).

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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AB - 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.

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KW - adaptive signal processing

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Weiss S, Sorgel U, Stewart R. Computationally efficient adaptive system identification in subbands with intersubband tap assignment for undermodelled problems. In Singh A, editor, 30th asilomar conference on signals, systems & computers. New York: IEEE. 1997. p. 818-822. (Conference record of the asilomar conference on signals, systems and computers). https://doi.org/10.1109/ACSSC.1996.599058