Comparative analysis of neural network filters and adaptive Volterra filters

D. J. Krusienski, William Kenneth Jenkins

Research output: Contribution to conferencePaper

5 Scopus citations

Abstract

This paper analyzes the relationship between the traditional adaptive Volterra filter (AVF) and the multilayer perceptron (MLP) neural network filter. These two filter structures are inherently similar in form and function. This relationship is clarified by analyzing the details of both methods within the context of adaptive nonlinear filtering.

Original languageEnglish (US)
Pages49-52
Number of pages4
StatePublished - Dec 1 2001
Event2001 Midwest Symposium on Circuits and Systems (MWSCAS 2001) - Dayton, OH, United States
Duration: Aug 14 2001Aug 17 2001

Other

Other2001 Midwest Symposium on Circuits and Systems (MWSCAS 2001)
CountryUnited States
CityDayton, OH
Period8/14/018/17/01

All Science Journal Classification (ASJC) codes

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

Fingerprint Dive into the research topics of 'Comparative analysis of neural network filters and adaptive Volterra filters'. Together they form a unique fingerprint.

  • Cite this

    Krusienski, D. J., & Jenkins, W. K. (2001). Comparative analysis of neural network filters and adaptive Volterra filters. 49-52. Paper presented at 2001 Midwest Symposium on Circuits and Systems (MWSCAS 2001), Dayton, OH, United States.