DocumentCode :
3068484
Title :
Signal separation theory by using adaptive array
Author :
Qi-hu, Li
Author_Institution :
Institute of Acoustics, Academia Sinica, Beijing, China
Volume :
8
fYear :
1983
fDate :
30407
Firstpage :
363
Lastpage :
366
Abstract :
Signal separation theory by using adaptive arrays is a new thesis in array data processing. The model considered in this paper is that the array consists of N elements and the number of signal sources, which are separated in spatial location, is M and 
. By using the Hilbert transform of input signal and the directional incident angle matrix, a signal separation processor is formed. In each output channel of this processor have only one incident signal. The results of system simulation experiment in digital computer has proved that this theory is effective for separating signal in certain situation.
. By using the Hilbert transform of input signal and the directional incident angle matrix, a signal separation processor is formed. In each output channel of this processor have only one incident signal. The results of system simulation experiment in digital computer has proved that this theory is effective for separating signal in certain situation.Keywords :
Adaptive arrays; Application software; Computational modeling; Computer simulation; Data processing; Delay effects; Frequency; Narrowband; Signal processing; Source separation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '83.
Type :
conf
DOI :
10.1109/ICASSP.1983.1172278
Filename :
1172278
Link To Document :
