Title :
Analysis of the complex sign regressor least mean fourth adaptive algorithm
Author :
Faiz, Mohammed Mujahid Ulla ; Zerguine, Azzedine
Author_Institution :
Electr. Eng. Dept., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
Abstract :
In this paper, expressions are derived for the steady-state and tracking excess-mean-square error (EMSE) of the complex sign regressor least mean fourth (SRLMF) adaptive algorithm. In addition, an expression for optimum step-size is also derived. Finally, it is shown that the theoretical results are consistent with the simulation results.
Keywords :
least mean squares methods; regression analysis; signal processing; EMSE; SRLMF adaptive algorithm; complex sign regressor least mean fourth adaptive algorithm; optimum step-size expression; steady-state excess-mean-square error; tracking excess-mean-square error; Adaptive algorithms; Algorithm design and analysis; Noise; Signal processing algorithms; Simulation; Steady-state; Vectors;
Conference_Titel :
Signal and Image Processing Applications (ICSIPA), 2011 IEEE International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4577-0243-3
DOI :
10.1109/ICSIPA.2011.6144115
