Insights into the convergence and steady-state behaviors of the SLMF and its variants

Mohammed Mujahid Ulla Faiz, Azzedine Zerguine

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

1 Scopus citations

Abstract

In this paper, we provide some insights into the convergence and steady-state behaviors of the sign-error least mean fourth (SLMF), sign-sign least mean fourth (SSLMF), normalized sign-error least mean fourth (NSLMF), and normalized sign-sign least mean fourth (NSSLMF) algorithms for both cases of real- and complex-valued data. Moreover, we also report the equivalence algorithms of the block-based normalized sign-error least mean fourth (BBNSLMF) and block-based normalized sign-sign least mean fourth (BBNSSLMF) algorithms. Finally, simulations are conducted for both cases of real- and complex-valued data to provide us with more insights into the performance of the SLMF, SSLMF, NSLMF, and NSSLMF algorithms.

Original languageEnglish
Title of host publication12th International Multi-Conference on Systems, Signals and Devices, SSD 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479917587
DOIs
StatePublished - 4 Dec 2015

Publication series

Name12th International Multi-Conference on Systems, Signals and Devices, SSD 2015

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

  • BB-NSLMF
  • BBNSSLMF
  • Convergence
  • NSLMF
  • NSSLMF
  • SLMF
  • SSLMF
  • Steady-state

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications
  • Control and Systems Engineering

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