A steady-state analysis of the ε-normalized sign-error least mean square (NSLMS) adaptive algorithm

A steady-state analysis of the ε-normalized sign-error least mean square (NSLMS) adaptive algorithm

In this work, expressions are derived for the steady-state excess-mean-square error (EMSE) of the ε-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 ε-NSLMS algorithm and t...

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Bibliographische Detailangaben
Hauptverfasser: Faiz, M. M. U., Zerguine, A.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Algorithm design and analysis
Convergence
Least squares approximation
Signal processing algorithms
Silicon
Steady-state
Vectors
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Beschreibung
Zusammenfassung:In this work, expressions are derived for the steady-state excess-mean-square error (EMSE) of the ε-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 ε-NSLMS algorithm and the ε-normalized least mean square (NLMS) algorithm is also presented. Finally, simulation results to substantiate the theoretical findings are presented.
ISSN:1058-6393
2576-2303
DOI:10.1109/ACSSC.2011.6190059