EURASIP Journal on Audio, Speech, and Music Processing

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Research Article
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Step Size Bound of the Sequential Partial Update LMS Algorithm with Periodic Input Signals

  • Pedro Ramos1Email author,
  • Roberto Torrubia2,
  • Ana López1,
  • Ana Salinas1 and
  • Enrique Masgrau2
EURASIP Journal on Audio, Speech, and Music Processing20062007:010231

https://doi.org/10.1155/2007/10231

©  Pedro Ramos et al. 2007

Received: 9 June 2006

Accepted: 5 October 2006

Published: 14 December 2006

Abstract

This paper derives an upper bound for the step size of the sequential partial update (PU) LMS adaptive algorithm when the input signal is a periodic reference consisting of several harmonics. The maximum step size is expressed in terms of the gain in step size of the PU algorithm, defined as the ratio between the upper bounds that ensure convergence in the following two cases: firstly, when only a subset of the weights of the filter is updated during every iteration; and secondly, when the whole filter is updated at every cycle. Thus, this gain in step-size determines the factor by which the step size parameter can be increased in order to compensate the inherently slower convergence rate of the sequential PU adaptive algorithm. The theoretical analysis of the strategy developed in this paper excludes the use of certain frequencies corresponding to notches that appear in the gain in step size. This strategy has been successfully applied in the active control of periodic disturbances consisting of several harmonics, so as to reduce the computational complexity of the control system without either slowing down the convergence rate or increasing the residual error. Simulated and experimental results confirm the expected behavior.

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Authors’ Affiliations

(1)
Communication Technologies Group, Aragón Institute for Engineering Research (I3A), EUPT, University of Zaragoza
(2)
Communication Technologies Group, Aragón Institute for Engineering Research (I3A), CPS Ada Byron, University of Zaragoza

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Copyright

© Pedro Ramos et al. 2007

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.