DocumentCode
3221491
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
fYear
2011
fDate
16-18 Nov. 2011
Firstpage
553
Lastpage
555
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal and Image Processing Applications (ICSIPA), 2011 IEEE International Conference on
Conference_Location
Kuala Lumpur
Print_ISBN
978-1-4577-0243-3
Type
conf
DOI
10.1109/ICSIPA.2011.6144115
Filename
6144115
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