Practical wavelet signal processing for automated testing

Author

Berry, Stephen

Author_Institution

Northrop Grumman, Huntsville, AL, USA

fYear

1999

fDate

1999

Firstpage

653

Lastpage

659

Abstract

Wavelets are very versatile signal-processing tools that can be used in automated testing for noise reduction, edge detection, focus determination of video camera, and multi-scale frequency/time domain analysis of signals. This paper presents an overview of wavelets and discusses how examples of the use of wavelets in electrical and optical testing are explored. Tools and routines for using wavelets are discussed for several programming languages and software packages including C/ATLAS, C, WAVELAB, MATLAB and the MATLAB Wavelet toolbox

Keywords

automatic test software; edge detection; signal resolution; software packages; wavelet transforms; C; C/ATLAS; MATLAB; MATLAB Wavelet toolbox; WAVELAB; automated testing; edge detection; electrical testing; multi-scale frequency/time domain analysis; multiresolution analysis; noise reduction; optical testing; software packages; video camera focus determination; wavelet signal processing; Automatic testing; Cameras; Frequency domain analysis; Image edge detection; MATLAB; Noise reduction; Signal processing; Video signal processing; Wavelet analysis; Wavelet domain;

fLanguage

English

Publisher

ieee

Conference_Titel

AUTOTESTCON '99. IEEE Systems Readiness Technology Conference, 1999. IEEE

Conference_Location

San Antonio, TX

ISSN

1080-7725

Print_ISBN

0-7803-5432-X

Type

conf

DOI

10.1109/AUTEST.1999.800440

Filename

800440