Series-cascade nonlinear adaptive filters

V. Hegde C. Radhakrishnan, D. Krusienski, William Kenneth Jenkins

Research output: Contribution to conferencePaper

9 Scopus citations

Abstract

It is known that certain classes of nonlinear systems can be represented by one of three cascade models: i) a linear filter followed by a memoryless nonlinearity (Wiener model), ii) a memoryless nonlinearity followed by a linear filter (Hammerstein model), or iii) a linear filter, a memoryless nonlinearity, and a second linear filter (LNL model). In this paper we consider LNL adaptive systems with an FIR linear system at the input stage and a FIR linear system at the output stage. Then combining the linear input stage and the memoryless nonlinear stage of the LNL model is considered, resulting in the series-cascade of a Wiener system with a linear output stage. Adaptive algorithms are derived for these structures and experimental examples are shown to illustrate their performance.

Original languageEnglish (US)
StatePublished - Dec 1 2002
Event2002 45th Midwest Symposium on Circuits and Systems - Tulsa, OK, United States
Duration: Aug 4 2002Aug 7 2002

Other

Other2002 45th Midwest Symposium on Circuits and Systems
CountryUnited States
CityTulsa, OK
Period8/4/028/7/02

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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    Radhakrishnan, V. H. C., Krusienski, D., & Jenkins, W. K. (2002). Series-cascade nonlinear adaptive filters. Paper presented at 2002 45th Midwest Symposium on Circuits and Systems, Tulsa, OK, United States.