Research of the Signal De-noising in Life Detection Based on Wavelet Transform

被引：1

作者：

Zhang Zhen ^{[1
]}

Ru Yi ^{[1
]}

机构：

[1] Zhengzhou Inst Aeronaut Ind Management, Zhengzhou, Peoples R China

来源：

2009 THIRD INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATION, VOL 2, PROCEEDINGS | 2009年

关键词：

signal de-nosing; life detection; wavelet transform; threshold estimation;

D O I：

10.1109/IITA.2009.410

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In life detection, radar echo signal is very weak and hard to extract. For solve this problem, weak life signal de-noising based on wavelet transform is studied. Through the studies of wavelet threshold de-noising method, the use of it in weak life signal de-noising in strong noise background, and the verification of simulation by Mat lab, the results shows that wavelet threshold de-noising method can remove the noise signal from weak life signal effectively and be an effective de-noising and extraction method for weak life signal.

引用

页码：15 / 18

页数：4

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