DocumentCode :
2947813
Title :
Optimal detection and separation of chirp signals
Author :
Gertner, I.
Author_Institution :
Center for Large Scale Comput., City Univ. of New York, NY, USA
fYear :
1990
fDate :
3-6 Apr 1990
Firstpage :
2507
Abstract :
The finite Zak transform is introduced into the problem of signal detection in a noisy environment. The main advantage of the Zak transform over the Wigner distribution approach is the linearity. Thus there are no cross terms in a multicomponent signal environment. The theory has been applied to separate chirp signals
Keywords :
signal detection; signal processing; transforms; chirp signals; finite Zak transform; noisy environment; optimal detection; signal detection; signal separation; Chirp; Fourier transforms; Large-scale systems; Linearity; Monitoring; Sampling methods; Signal analysis; Signal detection; Time frequency analysis; Working environment noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
Conference_Location :
Albuquerque, NM
ISSN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.1990.116107
Filename :
116107
Link To Document :
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