Title :
Fourier demixing filter based on statistical independence between signals
Author :
Uchino, Eiji ; Suetake, Noriaki ; Yamakawa, Takeshi
Author_Institution :
Yamaguchi Univ.
fDate :
9/3/1998 12:00:00 AM
Abstract :
A new filter based on the statistical independence between signals is presented. The original signal is estimated by the weighted sum of each harmonic of the observation corrupted by noise. The filter is synthesised by adjusting the weighting parameters by learning with the use of higher order moments of observation noise without any information about the dynamics of a target system
Keywords :
Fourier analysis; estimation theory; filtering theory; harmonics; interference (signal); Fourier demixing filter; harmonics; higher order moments; noise; signal estimation; statistical signal independence; weighted sum;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19981246
