Title :
A novel approach for the convergence analysis of the least-mean fourth algorithm
Author :
Zerguine, Azzedine
Author_Institution :
Electr. Eng. Dept., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
Abstract :
The convergence analysis of the least-mean fourth (LMF) algorithm is derived. A novel approach is used to study the convergence behavior of the algorithm. As a by-product of this novel approach, expressions for more general and new sufficient conditions for convergence and the excess steady-state error for the LMF algorithm are derived.
Keywords :
convergence of numerical methods; least mean squares methods; LMF algorithm; convergence analysis; convergence behavior; least-mean fourth algorithm; least-mean square algorithm; steady-state error; Adaptive filters; Algorithm design and analysis; Convergence; Equations; Noise; Signal processing algorithms; Steady-state;
Conference_Titel :
Signal Processing Conference, 2004 12th European
Conference_Location :
Vienna
Print_ISBN :
978-320-0001-65-7
