Tracking MSE performance analysis of the ∈-NSLMS algorithm

Mohammed Mujahid Ulla Faiz, Azzedine Zerguine, Syed Muhammad Asad, Khalid Mahmood

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

4 Scopus citations

Abstract

In this paper, the tracking behavior of the ∈-normalized sign-error least mean square (NSLMS) algorithm is analyzed in the presence of white and correlated Gaussian regressors. Moreover, generic analytical expressions are derived for the optimal step-size and the corresponding optimal meansquare error (MSE) of the ∈-NSLMS algorithm for both the real- and complex-valued data cases. Additionally, a comparison between the convergence behavior of the ∈-NSLMS algorithm and the ∈-normalized least mean square (NLMS) algorithm is also discussed. Finally, simulation results to corroborate our theoretical findings are presented.

Original languageEnglish
Title of host publication2015 International Conference on Communications, Signal Processing, and Their Applications, ICCSPA 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479965328
DOIs
StatePublished - 6 Apr 2015

Publication series

Name2015 International Conference on Communications, Signal Processing, and Their Applications, ICCSPA 2015

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

  • LMS
  • NLMS
  • NSLMS
  • SLMS
  • Tracking

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

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