Exploring the power of wavelet analysis

Author

Galli, A.W. ; Heydt, G.T. ; Ribeiro, P.F.

Author_Institution

Purdue Univ., West Lafayette, IN, USA

Volume

9

Issue

4

fYear

1996

fDate

10/1/1996 12:00:00 AM

Firstpage

37

Lastpage

41

Abstract

Wavelets are a recently developed mathematical tool for signal analysis. Informally, a wavelet is a short-term duration wave. Wavelets are used as a kernel function in an integral transform, much in the same way that sines and cosines are used in Fourier analysis or the Walsh functions in Walsh analysis. To date, the primary application of wavelets has been in the areas of signal processing, image compression, subband coding, medical imaging, data compression, seismic studies, denoising data, computer vision and sound synthesis. Here, the authors describe how wavelets may be used in the analysis of power system transients using computer implementation

Keywords

power system analysis computing; power system transients; wavelet transforms; computer simulation; integral transform; kernel function; mathematical tool; power system transients analysis; short-term duration wave; wavelet analysis; Acoustic signal processing; Application software; Biomedical imaging; Data compression; Fourier transforms; Image coding; Kernel; Signal analysis; Wavelet analysis; Wavelet transforms;

fLanguage

English

Journal_Title

Computer Applications in Power, IEEE

Publisher

ieee

ISSN

0895-0156

Type

jour

DOI

10.1109/67.539845

Filename

539845