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

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2947813