MODAL-WAVELET TRANSFORM AS A SMART VISUALIZATION TOOL
| Autor: | Kiyoshi Horii, Hisashi Endo, Yoshifuru Saito, Seiji Hayano, Iliana Marinova |
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| Rok vydání: | 2006 |
| Předmět: |
Discretization
business.industry Applied Mathematics Modal analysis Multiresolution analysis Wavelet transform Computer Science::Computational Geometry Wavelet Modal Signal Processing Modal matrix Orthonormal basis Computer vision Artificial intelligence business Algorithm Information Systems Mathematics |
| Zdroj: | International Journal of Wavelets, Multiresolution and Information Processing. :345-356 |
| ISSN: | 1793-690X 0219-6913 |
| Popis: | A method of information processings based on the classical field theory is outlined to derive the modal-wavelet transform (MWT) as a wavelet-like orthonormal transform. The theoretical background and application of MWT are described. The bases of MWT are derived from modal analysis of the potential field equations. Namely, a principal idea of MWT is that a numerical data set is regarded as a set of the field potentials or source densities. A modal matrix, constituting characteristic vectors, derived from the discretized field equations enables us to carry out an orthonormal transform inasmuch as the same way as those of conventional discrete wavelets. MWT is based on this data modeling to provide multiresolution analysis in an efficient manner. Three-dimensional MWT demonstrates a classification of a weather satellite infrared animation into background and cloud-moving frame images. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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