Recursive least squares filtering under stochastic computational errors

C. Radhakrishnan, Andrew Carl Singer

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

Abstract

Power efficiency and reliability are two issues facing digital signal processing (DSP) systems designed using CMOS and nanoscale process technologies. Power saving techniques like voltage overscaling (VOS) in CMOS technologies and the reliability issues in nanoscale processes make these systems susceptible to transient errors. These errors often manifest themselves as large magnitude errors at the application level and can severely degrade system performance. In this work we investigate the performance of recursive least squares (RLS) estimation under stochastic errors. The time recursive nature of the RLS technique can cause severe degradation of system performance under certain error conditions. An error detection mechanism based on observing weight updates can provide substantial system level performance improvements.

Original languageEnglish (US)
Title of host publicationConference Record of the 47th Asilomar Conference on Signals, Systems and Computers
PublisherIEEE Computer Society
Pages1529-1532
Number of pages4
ISBN (Print)9781479923908
DOIs
StatePublished - Jan 1 2013
Event2013 47th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States
Duration: Nov 3 2013Nov 6 2013

Publication series

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

Other

Other2013 47th Asilomar Conference on Signals, Systems and Computers
CountryUnited States
CityPacific Grove, CA
Period11/3/1311/6/13

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

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  • Cite this

    Radhakrishnan, C., & Singer, A. C. (2013). Recursive least squares filtering under stochastic computational errors. In Conference Record of the 47th Asilomar Conference on Signals, Systems and Computers (pp. 1529-1532). [6810552] (Conference Record - Asilomar Conference on Signals, Systems and Computers). IEEE Computer Society. https://doi.org/10.1109/ACSSC.2013.6810552