Biomedical signal detection based on fractional Fourier transform

被引：0
|
作者：
Zhang, Yalin [1 ]
Zhang, Qinyu [1 ]
Wu, Shaohua [1 ]
机构：
[1] Harbin Inst Technol, Shenzhen Grad Sch, Elect & Informat Engn Dept, Harbin, Peoples R China
来源：
2008 INTERNATIONAL SPECIAL TOPIC CONFERENCE ON INFORMATION TECHNOLOGY AND APPLICATIONS IN BIOMEDICINE, VOLS 1 AND 2 | 2008年
关键词：
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
As a generalization of classical Fourier transformation (FT), the fractional Fourier transform (FrFT) outperforms many other time frequency analysis techniques with its higher time-frequency resolution, but it is quite new to be employed into the biomedical signal processing. In this paper, the FrFT has been investigated for the application of biomedical signal detection, which shows to be effective to nonstationary weak signal detection in additive white Gaussian noise (AWGN). The second-order fractional FT moments and estimation are used for the multi-component chirps and interference situation. The results indicate the great advantage on biomedical signal detection by FrFT.
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页码：298 / 301
页数：4
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