DocumentCode :
2753932
Title :
Research on Data Pre-process and Feature Extraction Based on Wavelet Packet Analysis
Author :
Jiang, Xiaosong ; Huang, Yijun
Author_Institution :
Dept. of Aero-Electron. Eng., First Aeronaut. Coll. of Air Force, Xingyang
Volume :
2
fYear :
0
fDate :
0-0 0
Firstpage :
5850
Lastpage :
5853
Abstract :
A new method of data preparing and data processing in data mining is given. The decomposition and restructuring algorithm of wavelet packet analysis (WPA) is introduced. The initial data collected by sensor group are denoised and compressed by WPA. The viewpoint about data information identification based on `energy-information´ is shown. A new algorithm of data mining using WPA extracting data feature is presented
Keywords :
data compression; data mining; feature extraction; signal denoising; wavelet transforms; data compression; data denoising; data feature extraction; data information identification; data mining; data preparation; data processing; energy-information; sensor group; wavelet packet analysis; Data analysis; Data mining; Feature extraction; Frequency; Hafnium; Multiresolution analysis; Signal analysis; Visual databases; Wavelet analysis; Wavelet packets; Data mining; data compression; data denoising; feature extraction; wavelet packet analysis;
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.2006.1714199
Filename :
1714199
Link To Document :
بازگشت