DocumentCode :
2206283
Title :
Learning characteristics of event-related filters
Author :
Barros, Allan Kardec ; Ohnishi, Noboru ; Yoshizawa, Makoto
Author_Institution :
Dept. of Inf. Eng., Nagoya Univ., Japan
Volume :
2
fYear :
1995
fDate :
13-16 Aug 1995
Firstpage :
799
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
Keywords :
Fourier series; adaptive filters; transient analysis; Fourier linear combiner; event-related filter; independence; learning characteristics; mean squared error; transient analysis; Adaptive filters; Electronic mail; Frequency; Information analysis; Information filtering; Information filters; Low pass filters; Performance analysis; Power harmonic filters; Transversal filters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1995., Proceedings., Proceedings of the 38th Midwest Symposium on
Conference_Location :
Rio de Janeiro
Print_ISBN :
0-7803-2972-4
Type :
conf
DOI :
10.1109/MWSCAS.1995.510209
Filename :
510209
Link To Document :
بازگشت