A new method of anti-reverberation via Fractional Fourier transform

被引：0
|
作者：
Deng, B [1 ]
Tao, R [1 ]
Lin, Q [1 ]
Feng, L [1 ]
机构：
[1] Beijing Inst Technol, Dept Elect Engn, Beijing 100081, Peoples R China
来源：
PROCEEDINGS OF 2003 INTERNATIONAL CONFERENCE ON NEURAL NETWORKS & SIGNAL PROCESSING, PROCEEDINGS, VOLS 1 AND 2 | 2003年
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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：
A new method of anti-reverberation based on the FRFT is presented. With actual reverberation data and the LFM pulse for seperation, good results are obtained: the reverberation is removed largely; and better performance relatively under lower SRR. Based on theorical analyses and simulation results, two schemes for detecting targets are provided.
引用
收藏
页码：1379 / 1381
页数：3
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