Learning characteristics of event-related filters

Allan Kardec Barros, Noboru Ohnishi, Makoto Yoshizawa

Research output: Contribution to conferencePaper

Abstract

A simple analysis of the mean squared error (MSE) behavior for Fourier linear combiner (FLC) based filters is presented, using the independence assumption. The advantage of this analysis is its simplicity if compared with previous results. The MSE transient behavior for this kind of filters is also studied for the first time. With this assumption, we can design the filter without a priori knowledge of the signal or noises's statistics.

Original languageEnglish
Pages799-802
Number of pages4
Publication statusPublished - 1995 Dec 1
Externally publishedYes
EventProceedings of the 1995 IEEE 38th Midwest Symposium on Circuits and Systems. Part 1 (of 2) - Rio de Janeiro, Braz
Duration: 1995 Aug 131995 Aug 16

Other

OtherProceedings of the 1995 IEEE 38th Midwest Symposium on Circuits and Systems. Part 1 (of 2)
CityRio de Janeiro, Braz
Period95/8/1395/8/16

ASJC Scopus subject areas

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

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  • Cite this

    Barros, A. K., Ohnishi, N., & Yoshizawa, M. (1995). Learning characteristics of event-related filters. 799-802. Paper presented at Proceedings of the 1995 IEEE 38th Midwest Symposium on Circuits and Systems. Part 1 (of 2), Rio de Janeiro, Braz, .