Practical Implementation of Second Generation Wavelet Transformation on 2D Images by Transformation Matrixes

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dc.contributor.authorPiros, Sandor J.
dc.contributor.authorKorondi, Peter
dc.date.accessioned2020-09-11T08:33:33Z
dc.date.available2020-09-11T08:33:33Z
dc.date.issued2015-04-07
dc.description.abstractTo perform second generation wavelet transformation in digital signal processing is a common operation. Most obvious way to carry out this task is by program cycle management. Computational software usually executes direct matrix algebraic operations much faster, compared to cycles. Avoiding organizing cycles, can increase the processing speed by magnitudes. This paper introduces transformation matrixes to execute the key steps of wavelet transformation: filtering and downsampling. By the employment of the described transformational matrixes, wavelet transformation and filtering of two dimensional images or discrete datasets could be easier and faster.en
dc.formatapplication/pdf
dc.identifier.citationRecent Innovations in Mechatronics, Vol. 2 No. 1-2. (2015) , 1-6.
dc.identifier.doihttps://doi.org/10.17667/riim.2015.1-2/16.
dc.identifier.eissn2064-9622
dc.identifier.issue1-2.
dc.identifier.jtitleRecent Innovations in Mechatronics
dc.identifier.urihttps://hdl.handle.net/2437/295723en
dc.identifier.volume2
dc.languageen
dc.relationhttps://ojs.lib.unideb.hu/rIim/article/view/3813
dc.rights.accessOpen Access
dc.rights.ownerby the authors
dc.subjectSignal processing algorithmen
dc.subjectDigital signal processingen
dc.subjectWavelet transformationen
dc.subjectDiscrete wavelet transformen
dc.subjectMatrix operationsen
dc.titlePractical Implementation of Second Generation Wavelet Transformation on 2D Images by Transformation Matrixesen
dc.typefolyóiratcikkhu
dc.typearticleen
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