Analysis of the complex sign regressor least mean fourth adaptive algorithm

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

5 Scopus citations

Abstract

In this paper, expressions are derived for the steady-state and tracking excess-mean-square error (EMSE) of the complex sign regressor least mean fourth (SRLMF) adaptive algorithm. In addition, an expression for optimum step-size is also derived. Finally, it is shown that the theoretical results are consistent with the simulation results.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2011
Pages553-555
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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