Towards a VHDL-based synthesis of a wavelet transform processor

Ferretti, Marco; Rizzo, Davide

doi:10.1109/camp.1997.632073

Cited by 1 publication

(1 citation statement)

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“…30 Further, several computer architectures and computational algorithms were proposed and/or developed to speed up the computation of the wavelet transform and to solve particular implementation issues. [31][32][33] For university students of all fields, it is therefore becoming increasingly important to learn about wavelet analysis and its applications in their fields of study.…”

Section: Introductionmentioning

confidence: 99%

A Wavelet Analysis Toolbox for Excel

Artail

2005

Int. J. Wavelets Multiresolut Inf. Process.

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This paper presents an implementation of a wavelet analysis toolbox and its integration within Excel. The toolbox includes the discrete wavelet transform, inverse wavelet transform, wavelet-based de-noising, and an associated plotting utility. The transforms and the de-noising algorithms were implemented in a DLL using C++ while the user interfaces were developed using Visual Basic for Applications (VBA) forms. A simple technique was used to automate the transfer of data, associated properties, and user selections from the worksheet to the DLL, and the computed values from the DLL back to the worksheet. We show how the grouping and presentation of computed wavelet coefficients allow for multiresolution analysis and further processing within Excel. We highlight the benefits behind implementing the basic wavelet analysis functions in Excel with reference to MATLAB.

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Section: Introductionmentioning

confidence: 99%

A Wavelet Analysis Toolbox for Excel

Artail

2005

Int. J. Wavelets Multiresolut Inf. Process.

View full text Add to dashboard Cite

show abstract

Towards a VHDL-based synthesis of a wavelet transform processor

Cited by 1 publication

References 15 publications

A Wavelet Analysis Toolbox for Excel

A Wavelet Analysis Toolbox for Excel

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