Analysis of the SSLMS algorithm for complex-valued data

Mohammed Mujahid Ulla Faiz, Azzedine Zerguine

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

Abstract

Terms for the steady-state mean-square error, the optimum step-size, and the corresponding minimum value of the tracking mean-square error of the sign-sign least mean square algorithm for complex-valued data are derived in the work. Moreover, convergence comparison of the least mean square (LMS) algorithm and the sign-sign LMS algorithm for complex-valued data is also presented. Finally, simulation results are presented to support our analytical findings.

Original languageEnglish
Title of host publication16th International Multi-Conference on Systems, Signals and Devices, SSD 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages262-265
Number of pages4
ISBN (Electronic)9781728118208
DOIs
StatePublished - Mar 2019

Publication series

Name16th International Multi-Conference on Systems, Signals and Devices, SSD 2019

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

  • Complex-valued data
  • Steady-State
  • Tracking
  • sign-sign LMS

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing
  • Control and Systems Engineering
  • Control and Optimization
  • Instrumentation

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