Time-frequency Filtering and Its Application in Chirp Signal Detection

被引：0
|
作者：
Li, Xiumei [1 ]
Bi, Guoan [2 ]
机构：
[1] Hangzhou Normal Univ, Sch Informat Sci & Engn, Hangzhou, Zhejiang, Peoples R China
[2] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore, Singapore
来源：
2010 INTERNATIONAL CONFERENCE ON BIO-INSPIRED SYSTEMS AND SIGNAL PROCESSING (ICBSSP 2010) | 2010年
关键词：
Time-frequency filtering; local polynomial Fourier transform; chirp signal detection; FOURIER-TRANSFORM; HOUGH TRANSFORM; SYSTEMS;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Time-frequency filtering has been widely used in various applications. In this paper, the time-frequency filtering is applied to the LPP-Hough transform (LHT) which is a method for chirp signal detection. Chirp signals corrupted by heavy Gaussian noises and impulsive noises are considered in the simulations. It shows that the time-frequency filtering can help to greatly minimize the computation complexity of the LHT for chirp signal detection without deteriorating the detection performance.
引用
收藏
页码：1 / 4
页数：4
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