Stochastic adaptive filtering using model combinations

C. Radhakrishnan, A. C. Singer

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

Abstract

Fault tolerant adaptive filters (FTAF) have previously been enabled by exploiting the inherent learning capability of an adaptive process to recover from transient and fixed error conditions. Two drawbacks of this method are the long recovery time during which the system does not produce any useful outputs and for some implementations, the necessity of performing computations in the transform domain which limit applicability. In this work we use idea of combinations of adaptive filters and propose FTAF's which can guarantee a minimum level of overall system performance under error conditions. We investigate a combination scheme with respect to its overall mean square error (MSE) behavior. The fault tolerance capability of the proposed method may be useful in systems implemented in highly scaled CMOS process technologies where reliability is a concern.

Original languageEnglish (US)
Title of host publicationConference Record of the 46th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2012
Pages1792-1796
Number of pages5
DOIs
StatePublished - Dec 1 2012
Event46th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2012 - Pacific Grove, CA, United States
Duration: Nov 4 2012Nov 7 2012

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Other

Other46th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2012
CountryUnited States
CityPacific Grove, CA
Period11/4/1211/7/12

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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    Radhakrishnan, C., & Singer, A. C. (2012). Stochastic adaptive filtering using model combinations. In Conference Record of the 46th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2012 (pp. 1792-1796). [6489343] (Conference Record - Asilomar Conference on Signals, Systems and Computers). https://doi.org/10.1109/ACSSC.2012.6489343