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<item>
  <id>05915737</id>
  <dt>j</dt>
  <an>05915737</an>
  <augroup>
    <au>Tabatabaei Ardekani, I.</au>
    <au>Abdulla, W.H.</au>
  </augroup>
  <ti>On the convergence of real-time active noise control systems.</ti>
  <so>Signal Process. 91, No. 5, 1262-1274 (2011).</so>
  <py>2011</py>
  <pu>Elsevier Science, Amsterdam</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
    <ut>active noise control</ut>
    <ut>fxLMS algorithm</ut>
    <ut>acoustic duct</ut>
    <ut>real time implementation</ut>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>doi:10.1016/j.sigpro.2010.12.012</li>
  </ligroup>
  <abgroup>
    <ab>Summary: Available convergence analyses of adaptive active noise control systems apply to only theoretical cases with broad-band white noise or pure delay secondary paths. In order to investigate convergence behaviors of these systems in more practical conditions, this paper conducts a new convergence analysis for filtered-x LMS-based active noise control systems with band-limited white noise and moving average secondary paths. A linear model for the adaptation process is developed. Based on this model, the upper-bound of the adaptation step-size is derived. Also, the adaptation step-size leading to the fastest convergence rate is derived. In addition to the computer simulation, a fully implemented real time active noise control system is used to verify the validity of the analytical results.</ab>
    <rv></rv>
  </abgroup>
</item>