TRACKING ANALYSIS OF THE epsilon-NSRLMMN ALGORITHM

Mohammed Mujahid Ulla Faiz; Azzedine Zerguine

doi:10.1109/ACSSC.2012.6489127

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Conference proceeding

TRACKING ANALYSIS OF THE epsilon-NSRLMMN ALGORITHM

Mohammed Mujahid Ulla Faiz and Azzedine Zerguine

2012 CONFERENCE RECORD OF THE FORTY SIXTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS (ASILOMAR), pp.816-819

Conference Record of the Asilomar Conference on Signals Systems and Computers

01/01/2012

DOI: https://doi.org/10.1109/ACSSC.2012.6489127

Abstract

Computer Science

Computer Science, Theory & Methods

Engineering

Engineering, Electrical & Electronic

Science & Technology

Technology

In this work, expressions for the tracking excess-mean-square error (EMSE) and optimum step-size of the epsilon-normalized sign regressor least mean mixed-norm (NSRLMMN) adaptive algorithm are derived. Finally, extensive simulation results performed are found to corroborate very closely with the theoretical results for correlated Gaussian data.

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Title: TRACKING ANALYSIS OF THE epsilon-NSRLMMN ALGORITHM
Creators - without role: Mohammed Mujahid Ulla Faiz - King Fahd University of Petroleum and Minerals
Azzedine Zerguine - King Fahd University of Petroleum and Minerals
Contributors - without role: M B Matthews
Publication Details: 2012 CONFERENCE RECORD OF THE FORTY SIXTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS (ASILOMAR), pp.816-819
Series: Conference Record of the Asilomar Conference on Signals Systems and Computers
Publisher: IEEE
Number of pages: 4
Identifiers: 9914480908331
Academic Unit: Hafr Albatin University; King Fahd University of Petroleum & Minerals
Language: English
Resource Type: Conference proceeding