Title :
Adaptive nonlinear RLS algorithm for robust filtering in impulse noise
Author :
Weng, J.F. ; Leung, S.H.
Author_Institution :
Dept. of Electron. Eng., City Univ. of Hong Kong, Hong Kong
Abstract :
An adaptive nonlinear RLS algorithm for robust filtering in impulse noise is presented. The analysis of the mean and mean-square behaviours is carried out and verified by simulation. It is shown that the new algorithm can provide a robust performance against impulse noise and outperform the LMS counterpart and the RLS algorithm particularly when there is impulse noise
Keywords :
adaptive filters; adaptive signal processing; convergence of numerical methods; filtering theory; least squares approximations; noise; nonlinear filters; adaptive nonlinear RLS algorithm; impulse noise; mean behaviour; mean-square behaviour; recursive least squares algorithm; robust filtering; Adaptive filters; Algorithm design and analysis; Analytical models; Eigenvalues and eigenfunctions; Filtering algorithms; Gaussian noise; Least squares approximation; Noise robustness; Resonance light scattering; Signal analysis;
Conference_Titel :
Circuits and Systems, 1997. ISCAS '97., Proceedings of 1997 IEEE International Symposium on
Print_ISBN :
0-7803-3583-X
DOI :
10.1109/ISCAS.1997.612791
