Title :
Robust adaptive algorithm with low computational cost
Author :
Soria, E. ; Martín, J.D. ; Calpe, J. ; Serrano, A.J. ; Chambers, J.
Abstract :
An adaptive algorithm, which is robust to impulsive noise, is proposed. The cost function underlying this algorithm contains a parameter that controls the immunity to impulsive noise and can be easily adapted. Moreover, weight updating involves a nonlinear function, which recently has been shown to have an efficient hardware implementation. The proposed adaptive algorithm has been successfully tested in terms of accuracy and convergence on a system-identification simulation
Keywords :
adaptive signal processing <robust adaptive algm., low comput. cost>; convergence of numerical methods <robust adaptive algm., low comput. cost>; identification <robust adaptive algm., low comput. cost>; impulse noise <robust adaptive algm., low comput. cost>; nonlinear functions <robust adaptive algm., low comput. cost>; cost function; digital signal processing; impulsive noise; low computational cost; nonlinear function; robust adaptive algorithm; system-identification simulation; weight updating;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20063967
