Téléchargez le livre : Efficient Algorithms for Discrete Wavelet Transform

Efficient Algorithms for Discrete Wavelet Transform

With Applications to Denoising and Fuzzy Inference Systems de

,

Éditeur :

Springer


Collection :

SpringerBriefs in Computer Science

Paru le : 2013-01-26

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Description
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 scaling (dilation) are unique to wavelets. Orthogonality of wavelets with respect to dilations leads to multigrid representation. As the computation of DWT involves filtering, an efficient filtering process is essential in DWT hardware implementation. In the multistage DWT, coefficients are calculated recursively, and in addition to the wavelet decomposition stage, extra space is required to store the intermediate coefficients. Hence, the overall performance depends significantly on the precision of the intermediate DWT coefficients. This work presents new implementation techniques of DWT, that are efficient in terms of computation, storage, and with better signal-to-noise ratio in the reconstructed signal.
Pages
91 pages
Collection
SpringerBriefs in Computer Science
Parution
2013-01-26
Marque
Springer
EAN papier
9781447149408
EAN EPUB
9781447149415
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
9
Taille du fichier
1853 Ko
Prix
52,74 €

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