A steady-state analysis of the ε-normalized sign-error least mean square (NSLMS) adaptive algorithm
- Ulla Faiz, M.
- Zerguine, A.
- Ulla Faiz, M.
- Zerguine, A.
Publication date
January 2011
DOI Publisher
Institute of Electrical and Electronics Engineers (IEEE)Abstract
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
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