Technical Program

Paper Detail

Paper:MLSP-P4.6
Session:Machine Learning Applications
Time:Thursday, May 20, 09:30 - 11:30
Presentation: Poster
Topic: Machine Learning for Signal Processing: Communications Applications
Title: A RADIAL BASIS FUNCTION EQUALIZER FOR OPTICAL FIBER COMMUNICATIONS SYSTEMS
Authors: Wei Wang; University of Maryland, Baltimore County 
Abstract: A radial basis function (RBF) equalizer is introduced for mitigation of intersymbol interference in optical communications systems. It is shown that prior information on the noise and channel characteristics can be effectively incorporated into the structure of an RBF equalizer. A training algorithm for tracking time varying statistics of the input is presented and the proposed equalizer is applied for mitigation of polarization mode dispersion in optical communications channel with dominating amplitude spontaneous emission noise.
 
           Back


Home -||- Organizing Committee -||- Technical Committee -||- Technical Program -||- Plenaries
Paper Submission -||- Special Sessions -||- ITT -||- Paper Review -||- Exhibits -||- Tutorials
Information -||- Registration -||- Travel Insurance -||- Housing -||- Workshops

©2015 Conference Management Services, Inc. -||- email: webmaster@icassp2004.org -||- Last updated Wednesday, April 07, 2004