TY - GEN
T1 - The ∈-normalized sign regressor least mean fourth (NSRLMF) adaptive algorithm
AU - Faiz, Mohammed Mujahid Ulla
AU - Zerguine, Azzedine
PY - 2012
Y1 - 2012
N2 - In this paper, a new algorithm, the -normalized sign regressor least mean fourth (NSRLMF) algorithm is presented as a substitute for the -normalized least mean fourth (NLMF) algorithm. This new algorithm reduces significantly the computational load. Moreover, the proposed algorithm has similar convergence properties as those of the -NLMF algorithm. Finally, simulations corroborate very well the theoretical findings.
AB - In this paper, a new algorithm, the -normalized sign regressor least mean fourth (NSRLMF) algorithm is presented as a substitute for the -normalized least mean fourth (NLMF) algorithm. This new algorithm reduces significantly the computational load. Moreover, the proposed algorithm has similar convergence properties as those of the -NLMF algorithm. Finally, simulations corroborate very well the theoretical findings.
UR - https://www.scopus.com/pages/publications/84868548254
U2 - 10.1109/ISSPA.2012.6310571
DO - 10.1109/ISSPA.2012.6310571
M3 - Conference contribution
AN - SCOPUS:84868548254
SN - 9781467303828
T3 - 2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012
SP - 339
EP - 342
BT - 2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012
PB - IEEE Computer Society
T2 - 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012
Y2 - 2 July 2012 through 5 July 2012
ER -