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A STEADY-STATE ANALYSIS OF THE epsilon-NORMALIZED SIGN-ERROR LEAST MEAN SQUARE (NSLMS) ADAPTIVE ALGORITHM
Conference proceeding

A STEADY-STATE ANALYSIS OF THE epsilon-NORMALIZED SIGN-ERROR LEAST MEAN SQUARE (NSLMS) ADAPTIVE ALGORITHM

Mohammed Mujahid Ulla Faiz and Azzedine Zerguine
2011 CONFERENCE RECORD OF THE FORTY-FIFTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS (ASILOMAR), pp.538-541
Conference Record of the Asilomar Conference on Signals Systems and Computers
01/01/2011
DOI: https://doi.org/10.1109/ACSSC.2011.6190059

Abstract

Engineering Engineering, Electrical & Electronic Science & Technology Technology Telecommunications
In this work, expressions are derived for the steady-state excess-mean-square error (EMSE) of the epsilon-normalized sign-error least mean square (NSLMS) adaptive algorithm for both cases of real-and complex-valued data. Moreover, a comparison between the computational load of the epsilon-NSLMS algorithm and the epsilon-normalized least mean square (NLMS) algorithm is also presented. Finally, simulation results to substantiate the theoretical findings are presented.

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