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An Adaptive Filtering Algorithm using Mean Field Annealing Techniques
Responsible organisation
2002 (English)Conference paper, Published paper (Refereed) Published
Abstract [en]

We present a new approach to discrete adaptive filtering based on the mean field annealing algorithm. The main idea is to find the discrete filter vector that minimizes the matrix form of the Wiener-Hopf equations in a least-squares sense by a generalized mean field annealing algorithm. It is indicated by simulations that this approach, with complexity O(M^2) where M is the filter length, finds a solution comparable to the one obtained by the recursive least squares (RLS) algorithm but without the transient behavior of the RLS algorithm. Further advantages of the proposed algorithm over other methods such as the recursive least-squares algorithm are that the filter coefficients are always limited and that it facilitates fast recovery after an abrupt system change.

Place, publisher, year, edition, pages
San Diego: IEEE , 2002.
Keyword [en]
adaptive filters, filtering theory, integral equations, least squares approximations
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:bth-10226ISI: 000179203300020Local ID: oai:bth.se:forskinfo1CDEA7D9BE685D6BC1256C6A005489A7ISBN: 0 7803 7587 4 (print)OAI: oai:DiVA.org:bth-10226DiVA: diva2:838301
Conference
IEEE Workshop on Signal Processing Systems
Available from: 2012-09-18 Created: 2002-11-07 Last updated: 2015-06-30Bibliographically approved

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Claesson, Ingvar
Signal Processing

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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