Partial-update NLMS algorithms with data-selective updating

  title={Partial-update NLMS algorithms with data-selective updating},
  author={Stefan Werner and Marcello Luiz Rodrigues de Campos and Paulo S. R. Diniz},
  journal={IEEE Transactions on Signal Processing},
In this paper, we present mean-squared convergence analysis for the partial-update normalized least-mean square (PU-NLMS) algorithm with closed-form expressions for the case of white input signals. The formulae presented here are more accurate than the ones found in the literature for the PU-NLMS algorithm. Thereafter, the ideas of the partial-update NLMS-type algorithms found in the literature are incorporated in the framework of set-membership filtering, from which data-selective NLMS-type… CONTINUE READING
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Publications referenced by this paper.
Showing 1-10 of 11 references

On the value of information in system identification — Bounded noise case

  • Y. F. Huang
  • IEEE Trans . Signal Processing
  • 1998

Adaptive Filtering - Algorithms and Practical Implementation

  • P.S.R. Diniz
  • 1997
1 Excerpt

A new quasi - Newton adaptive filtering algorithm

  • A. Antoniou
  • IEEE Trans . Circuits Syst . II
  • 1989

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