DocumentCode :
3278791
Title :
A new transform for chirp detection
Author :
Li, Xiumei ; Bi, Guoan
Author_Institution :
Sch. of EEE, Nanyang Technol. Univ., Singapore
fYear :
2008
fDate :
7-10 Dec. 2008
Firstpage :
1
Lastpage :
5
Abstract :
This paper presents the combination of the local polynomial Fourier transform and the Hough transform to detect chirp signals. By considering the improvement on the signal to noise ratio, the performance of the proposed combination can achieve significant performance improvement compared to the Wigner-Hough transform. Simulation results are also presented to show desirable performance particularly when the signal is distorted by heavy noises.
Keywords :
Fourier transforms; Hough transforms; polynomials; signal detection; Hough transform; chirp signal detection; local polynomial Fourier transform; signal-to-noise ratio; Bismuth; Chirp; Fourier transforms; Information theory; Polynomials; Radar detection; Signal detection; Signal to noise ratio; Sonar detection; Time frequency analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory and Its Applications, 2008. ISITA 2008. International Symposium on
Conference_Location :
Auckland
Print_ISBN :
978-1-4244-2068-1
Electronic_ISBN :
978-1-4244-2069-8
Type :
conf
DOI :
10.1109/ISITA.2008.4895439
Filename :
4895439
Link To Document :
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