A class of nonlinear adaptive filters
- 6 January 2003
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
A generalized framework for the description of a large class of nonlinear filters is introduced. This framework includes nonrecursive linear filters (FIR), order statistic filters (OSF or L-filters), Ll-filters, Volterra filters, and ZNL-LTI filters. The Ll-filters have been proposed to generalize and combine FIR and OSF filters. LMS and RLS algorithms are extended to such a class, and a simulation of an adaptive line enhancer using an L-filter is presented.Keywords
This publication has 4 references indexed in Scilit:
- Theory and realization of M-D nonlinear digital filtersPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Second-order convergence analysis of stochastic adaptive linear filteringIEEE Transactions on Automatic Control, 1983
- On the design of nonlinear discrete-time predictors (Corresp.)IEEE Transactions on Information Theory, 1982
- Robust StatisticsPublished by Wiley ,1981