DocumentCode
571541
Title
Computation of Continuous Wavelet Transform Using Microsoft Excel SpreadSheet
Author
Prabha, Pinchu ; Sikha, O.K. ; Suchithra, M. ; Sukanya, P. ; Sowmya, V. ; Soman, K.P.
Author_Institution
Centre for excellence in Comput. Eng. & Networking, Amrita Vishwa Vidyapeetham, Coimbatore, India
fYear
2012
fDate
9-11 Aug. 2012
Firstpage
73
Lastpage
77
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.
Keywords
mathematical analysis; signal processing; spreadsheet programs; wavelet transforms; Brownian signal computation; CWT; Matlab toolbox; computational power; continuous wavelet transform computation; engineering curriculum; image processing; mathematical tool; microsoft excel spreadsheet; multifractal analysis; signal processing; wavelet theory; Continuous wavelet transforms; Fractals; MATLAB; Thermodynamics; Wavelet analysis; Continuous Wavelet Transform; Excel computation; Modulus maxima;
fLanguage
English
Publisher
ieee
Conference_Titel
Advances in Computing and Communications (ICACC), 2012 International Conference on
Conference_Location
Cochin, Kerala
Print_ISBN
978-1-4673-1911-9
Type
conf
DOI
10.1109/ICACC.2012.15
Filename
6305557
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