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