The ε-normalized sign regressor least mean square (NSRLMS) adaptive algorithm

Mohammed Mujahid Ulla Faiz*, Azzedine Zerguine

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In this paper, expressions are derived for the steady-state and tracking excess-mean-square error (EMSE) of the-normalized sign regressor least mean square (NSRLMS) adaptive algorithm. Finally, it is shown that simulations performed for both the cases of white and correlated Gaussian regressors substantiate very well the theory developed.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2011
Pages556-558
Number of pages3
DOIs
StatePublished - 2011

Publication series

Name2011 IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2011

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing

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