Wavelet denoising and feature extraction of seismic signal for footstep detection

SEMI OpenIR > 中国科学院半导体研究所（2009年前）

	Wavelet denoising and feature extraction of seismic signal for footstep detection
	Xing, HF; Li, F; Liu, YL; Xing, HF, Chinese Acad Sci, Inst Semicond, State Key Lab Integrated Optoelect, Beijing 100083, Peoples R China.
	2007
会议名称	5th International Conference on Wavelet Analysis and Pattern Recognition
会议录名称	2007 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION
页码	VOLS 1-4,PROCEEDINGS: 218-223
会议日期	NOV 02-04, 2007
会议地点	Beijing, PEOPLES R CHINA
出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
出版者	IEEE
ISBN	978-1-4244-1065-1
部门归属	[xing, huai-fei; li, fang; liu, yu-liang] chinese acad sci, inst semicond, state key lab integrated optoelect, beijing 100083, peoples r china
摘要	Seismic sensors are widely used to detect moving target in ground sensor networks. Footstep detection is very important for security surveillance and other applications. Because of non-stationary characteristic of seismic signal and complex environment conditions, footstep detection is a very challenging problem. A novel wavelet denoising method based on singular value decomposition is used to solve these problems. The signal-to-noise ratio (SNR) of raw footstep signal is greatly improved using this strategy. The feature extraction method is also discussed after denosing procedure. Comparing, with kurtosis statistic feature, the wavelet energy feature is more promising for seismic footstep detection, especially in a long distance surveillance.
关键词	Wavelet Denoising Seismic Signal Footstep Detection Feature Extraction
学科领域	光电子学
主办者	Machine Learning & Cybernet Res Inst.; IEEE SMC Soc.; Chinese Assoc Artificial Intelligence.; Univ Sci & Technol Beijing.; Tsinghua Univ.; Peking Univ.; Chongqing Univ.; Hebei Univ.; Hong Kong Baptist Univ.; Natl Nat Sci Fdn China.
收录类别	CPCI-S
语种	英语
文献类型	会议论文
条目标识符	http://ir.semi.ac.cn/handle/172111/7848
专题	中国科学院半导体研究所（2009年前）
通讯作者	Xing, HF, Chinese Acad Sci, Inst Semicond, State Key Lab Integrated Optoelect, Beijing 100083, Peoples R China.
推荐引用方式 GB/T 7714	Xing, HF,Li, F,Liu, YL,et al. Wavelet denoising and feature extraction of seismic signal for footstep detection[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2007:VOLS 1-4,PROCEEDINGS: 218-223.

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