Title :
A steady-state analysis of the ε-normalized sign-error least mean square (NSLMS) adaptive algorithm
Author :
Faiz, Mohammed Mujahid Ulla ; Zerguine, Azzedine
Author_Institution :
Dept. of Electr. Eng., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
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.
Keywords :
adaptive filters; least mean squares methods; ε-NSLMS adaptive algorithm; ε-normalized sign-error least mean square algorithm; EMSE; adaptive filter; complex-valued data; steady-state analysis; steady-state excess-mean-square error; Algorithm design and analysis; Convergence; Least squares approximation; Signal processing algorithms; Silicon; Steady-state; Vectors;
Conference_Titel :
Signals, Systems and Computers (ASILOMAR), 2011 Conference Record of the Forty Fifth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
978-1-4673-0321-7
DOI :
10.1109/ACSSC.2011.6190059
