TY - GEN
T1 - A steady-state analysis of the ε-normalized sign-error least mean square (NSLMS) adaptive algorithm
AU - Faiz, Mohammed Mujahid Ulla
AU - Zerguine, Azzedine
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/84861309332
U2 - 10.1109/ACSSC.2011.6190059
DO - 10.1109/ACSSC.2011.6190059
M3 - Conference contribution
AN - SCOPUS:84861309332
SN - 9781467303231
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 538
EP - 541
BT - Conference Record of the 45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011
ER -