DocumentCode :
2754483
Title :
The Improved Signal Processing Method Based on Matrix Pencil Algorithm
Author :
Liu, Guohua ; Zhang, Guangxin ; Zhang, Tongjun ; Zhou, Zekui
Author_Institution :
Dept. of Control Sci. & Eng., Zhejiang Univ., Hangzhou
Volume :
2
fYear :
0
fDate :
0-0 0
Firstpage :
5981
Lastpage :
5984
Abstract :
This paper presents a new approach for signal processing method based on matrix pencil method, which is effective for exponential signal. The principle of matrix pencil method is based on the singular value decomposition (SVD), and the characteristics of the singular value are analysed for the high signal-to-noise (SNR). If reduced gradient of the singular value is less than the threshold value, the part of signal should be subdivision by wavelet packet, and then make it fusion with the result of matrix pencil method. The simulation results show that the improved signal processing method based on matrix pencil method has significant filtering effect and less restrictive applied field
Keywords :
filtering theory; matrix algebra; signal processing; singular value decomposition; wavelet transforms; exponential signal; filtering effect; matrix pencil algorithm; signal processing; signal-to-noise ratio; singular value decomposition; wavelet packet; Digital filters; Digital signal processing; Filtering; Matrix decomposition; Noise level; Signal analysis; Signal processing; Signal processing algorithms; Singular value decomposition; Wavelet packets; Matrix Pencil method; singular value decomposition (SVD); wavelet packet;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
Type :
conf
DOI :
10.1109/WCICA.2006.1714227
Filename :
1714227
Link To Document :
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