Publication Type:

Conference Proceedings

Source:

Proceedings - 2012 International Conference on Advances in Computing and Communications, ICACC 2012, IEEE, Kochi, Kerala, p.73-77 (2012)

ISBN:

9780769547237

URL:

http://www.scopus.com/inward/record.url?eid=2-s2.0-84867977555&partnerID=40&md5=053b003943abd0a966fcd3870310f3fb

Keywords:

Analysis of various, Basic concepts, Computational power, Continuous Wavelet Transform, Continuous wavelet transforms, Engineering curriculum, Excel, Image processing, Mathematical tools, MATLAB, Matlab toolboxes, Matlab- software, Microsoft excel, Modulus maxima, Multifractal analysis, Real time signal, Signal and image processing, Spreadsheets, User friendly, Visual interpretation, Wavelet modulus maxima, Wavelet theory, Wavelet transforms

Abstract:

Wavelet theory has become an essential and significant tool for signal and image processing applied in the analysis of various real time signals. It is thus necessary to include wavelet transform and its application in multifractal analysis as a part of the engineering curriculum. In this paper, we present simple and effective way of computing Continuous Wavelet Transform (CWT) using Microsoft Excel Spreadsheet which serves as an user friendly mathematical tool for beginners. The motivation of this paper is to prove the computational power of excel, using which students can have better understanding of the basic concept behind the computation of Continuous Wavelet Transform. The plot of Continuous Wavelet Transform of Brownian signal computation in Excel is compared with that of the result in the Matlab Toolbox. The singularities present in the signal can be inferred from the wavelet modulus maxima plot. The visual interpretation proves that Excel tool provides computational power comparable to that of the Matlab software. The codes for the implementation of CWT in Excel are available on nlp.amrita.edu:8080/sisp/wavelet/cwt/cwt.xlsm, nlp.amrita.edu:8080/sisp/wavelet/cwt/modmax.xlsm, nlp.amrita.edu:8080/sisp/ wavelet/cwt/thermo.xlsm © 2012 IEEE.

Notes:

cited By (since 1996)0; Conference of org.apache.xalan.xsltc.dom.DOMAdapter@565c4783 ; Conference Date: org.apache.xalan.xsltc.dom.DOMAdapter@445b15c0 Through org.apache.xalan.xsltc.dom.DOMAdapter@37f1134f; Conference Code:93547

Cite this Research Publication

P. Prabha, Sikha, O. K., Suchithra, M., Sukanya, P., Sowmya V., and Dr. Soman K. P., “Computation of continuous wavelet transform using microsoft excel spreadsheet”, Proceedings - 2012 International Conference on Advances in Computing and Communications, ICACC 2012. IEEE, Kochi, Kerala, pp. 73-77, 2012.

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