DocumentCode :
2638003
Title :
Wavelet Transform and Its Application to Laser Pulse Detection
Author :
Wan, Jun-Li ; Xia, Ping ; Liu, Xin-Qiong
Author_Institution :
Coll. of Electr. Eng. & Inf. Technol., China Three Gorges Univ., Yichang
fYear :
2008
fDate :
18-20 June 2008
Firstpage :
387
Lastpage :
387
Abstract :
Due to the problem of detecting weak signal in strong noise, a method of pulse signal detection was put forward which is based on multiresolution wavelet analysis. According to Parserval theorem, the frame of signal space decomposition and energy distributing was established by this method, and a complete orthogonal multi-resolution description is defined, the design of floating threshold of multiresolution wavelet analysis was discussed, and the removing noise algorithm has been given. The result of experiment and emulation shows that multi-band wavelet analysis is able to extract the weak and unclear pulse signal from white noise. This method is applied to laser pulse exploration system, and which has better effect.
Keywords :
feature extraction; laser beam applications; signal detection; signal resolution; wavelet transforms; white noise; Parserval theorem; energy distribution; laser pulse exploration system; multiresolution wavelet analysis; noise algorithm; orthogonal multiresolution description; pulse signal detection; signal space decomposition; wavelet transform; weak signal detection; Algorithm design and analysis; Energy resolution; Laser applications; Laser noise; Optical pulses; Signal analysis; Signal detection; Signal resolution; Wavelet analysis; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
Conference_Location :
Dalian, Liaoning
Print_ISBN :
978-0-7695-3161-8
Electronic_ISBN :
978-0-7695-3161-8
Type :
conf
DOI :
10.1109/ICICIC.2008.601
Filename :
4603576
Link To Document :
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