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Efficient algorithms for discrete wavelet transform: with applications to denoising and fuzzy inference systems
Due to its inherent time-scale locality characteristics, the discrete wavelet transform (DWT) has received considerable attention in signal/image processing. Wavelet transforms have excellent energy compaction characteristics and can provide perfect reconstruction. The shifting (translation) and sca...
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
Springer
2013
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Acceso en línea: | http://cds.cern.ch/record/1618420 |