• DocumentCode
    83781
  • Title

    Convergence Analysis of an Adaptive Algorithm With Output Power Constraints

  • Author

    Kozacky, Walter J. ; Ogunfunmi, Tokunbo

  • Author_Institution
    Santa Clara Univ., Santa Clara, CA, USA
  • Volume
    61
  • Issue
    5
  • fYear
    2014
  • fDate
    May-14
  • Firstpage
    364
  • Lastpage
    367
  • Abstract
    This brief presents a convergence analysis and simulation for a new algorithm intended for use in systems with an output power constraint. For example, in an active noise control system that generates an antinoise output to destructively cancel the noise source, we impose the additional requirement of limiting the maximum output power level to prevent system overdrive. The result is a computationally efficient algorithm that allows an explicit power level to be set.
  • Keywords
    adaptive filters; convergence; noise abatement; noise generators; active noise control system; adaptive filtering algorithm; antinoise output generation; convergence analysis; maximum output power level; noise source cancellation; output power constraint; Algorithm design and analysis; Control systems; Convergence; Least squares approximations; Noise; Power generation; Signal processing algorithms; Active noise control (ANC); adaptive filtering; adaptive signal processing;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems II: Express Briefs, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1549-7747
  • Type

    jour

  • DOI
    10.1109/TCSII.2014.2312637
  • Filename
    6800062