Wavelet packet-based EMI signal processing and source identification

Author

Antonini, Giulio ; Orlandi, Antonio

Author_Institution

Dept. of Electr. Eng., L´´Aquila Univ., Italy

Volume

43

Issue

2

fYear

2001

fDate

5/1/2001 12:00:00 AM

Firstpage

140

Lastpage

148

Abstract

Existing techniques for recognizing and identifying disturbed signals waveforms are primarily based on visual inspection. This paper proposes a wavelet packet based technique to perform a feature extraction from the disturbance signal and a classification of the extracted features in order to identify the possible causes of the disturbance. The same wavelet based procedure is applied to signal compression and denoising in order to make the EMC analysis of the data easier

Keywords

channel bank filters; data compression; discrete wavelet transforms; electromagnetic compatibility; electromagnetic interference; feature extraction; filtering theory; identification; noise; signal classification; DWT; EMC data analysis; denoising; discrete wavelet transform; disturbance signal; disturbed signals waveforms; electromagnetic interference; extracted features classification; feature extraction; filter banks theory; filter theory; signal compression; source identification; unitary approach; visual inspection; wavelet packet decomposition; wavelet packet-based EMI signal processing; Data analysis; Data mining; Electromagnetic compatibility; Electromagnetic interference; Feature extraction; Inspection; Noise reduction; Signal processing; Wavelet analysis; Wavelet packets;

fLanguage

English

Journal_Title

Electromagnetic Compatibility, IEEE Transactions on

Publisher

ieee

ISSN

0018-9375

Type

jour

DOI

10.1109/15.925533

Filename

925533