Practical wavelet signal processing for automated testing
Simon Berry · 1999
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.