Title :
Tracking analysis of the ε-NSRLMMN 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 for the tracking excess-mean-square error (EMSE) and optimum step-size of the ε-normalized sign regressor least mean mixed-norm (NSRLMMN) adaptive algorithm are derived. Finally, extensive simulation results performed are found to corroborate very closely with the theoretical results for correlated Gaussian data.
Keywords :
Gaussian processes; mean square error methods; regression analysis; signal processing; tracking; ε-NSRLMMN algorithm; ε-normalized sign regressor least mean mixed-norm; EMSE; correlated Gaussian data; excess-mean-square error; tracking analysis;
Conference_Titel :
Signals, Systems and Computers (ASILOMAR), 2012 Conference Record of the Forty Sixth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
978-1-4673-5050-1
DOI :
10.1109/ACSSC.2012.6489127
