Hybrid method based on the inverse wavelet transform and hopfield network to reconstruct the transformed data
| Autor: | Abdelmadjid Nouicer, Mouloud Feliachi, Mohamed El Hadi Latreche |
|---|---|
| Rok vydání: | 2004 |
| Předmět: |
Discrete wavelet transform
Lifting scheme business.industry Mechanical Engineering Stationary wavelet transform Second-generation wavelet transform ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Wavelet transform Pattern recognition Data_CODINGANDINFORMATIONTHEORY Condensed Matter Physics Electronic Optical and Magnetic Materials Wavelet packet decomposition Wavelet Mechanics of Materials Artificial intelligence Electrical and Electronic Engineering business Harmonic wavelet transform Mathematics |
| Zdroj: | International Journal of Applied Electromagnetics and Mechanics. 19:607-611 |
| ISSN: | 1875-8800 1383-5416 |
| DOI: | 10.3233/jae-2004-637 |
| Popis: | Conventional reconstruction of the compressed data based on the inverse wavelet transform (IWT) does not give good results (too much loss of information) because of the neglected detail part especially for the high levels decomposition.To deal with this problem, a new approach for the reconstruction of the compressed data, based on the inverse wavelet transform and the Hopfield neural networks is presented in this paper. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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