Title :
A new kind of adaptive frequency shift filter
Author :
Zhang, J. ; Wong, K.M. ; Jin, Q. ; Wu, Q.
Author_Institution :
Commun. Res. Lab., McMaster Univ., Hamilton, Ont., Canada
Abstract :
In this paper, two types of adaptive FREquency SHift filters are proposed. One is LMS adaptive FRESH filter. The other is blind adaptive FRESH filter. By exploiting the spectral correlation of cyclostationary signals, these adaptive filters can separate the signals which overlap in both frequency and time domain. Theoretical development and simulations of these filters are given in this paper. The results show that for signals which spectrally overlap, the adaptive FRESH filters can perform very well while ordinary adaptive filters fail
Keywords :
adaptive filters; correlation theory; filtering theory; frequency-domain analysis; signal reconstruction; time-domain analysis; LMS adaptive FRESH filter; adaptive frequency shift filter; blind adaptive FRESH filter; cyclostationary signals; frequency domain; signal separation; simulations; spectral correlation; time domain; Adaptive filters; Communication systems; Convolution; Equations; Filtering; Frequency domain analysis; Interference; Laboratories; Least squares approximation; Wiener filter;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-2431-5
DOI :
10.1109/ICASSP.1995.480323
