Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Librería: Books Puddle, New York, NY, Estados Unidos de America
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Añadir al carritoCondición: New. pp. 104.
Librería: Chiron Media, Wallingford, Reino Unido
EUR 56,39
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Idioma: Inglés
Publicado por Springer-Verlag New York Inc, 2013
ISBN 10: 1447149408 ISBN 13: 9781447149408
Librería: Revaluation Books, Exeter, Reino Unido
EUR 75,87
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Añadir al carritoPaperback. Condición: Brand New. 2013 edition. 100 pages. 9.00x6.00x0.25 inches. In Stock.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 58,39
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 46,22
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Añadir al carritoCondición: new. Questo è un articolo print on demand.
Idioma: Inglés
Publicado por Springer London, Springer Feb 2013, 2013
ISBN 10: 1447149408 ISBN 13: 9781447149408
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 53,49
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 104 pp. Englisch.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 75,06
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Añadir al carritoCondición: New. Print on Demand pp. 104 46 Illus. (31 Col.).
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 76,17
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Añadir al carritoCondición: New. PRINT ON DEMAND pp. 104.
Librería: moluna, Greven, Alemania
EUR 48,37
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Describes a mathematical model to predict the errors introduced in the implementation of the discrete wavelet transform (DWT) on fixed-point processorsExplores the application of DWT on benchmark signals and images in terms of denoisingProp.
Idioma: Inglés
Publicado por Springer, Springer Feb 2013, 2013
ISBN 10: 1447149408 ISBN 13: 9781447149408
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 53,49
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 104 pp. Englisch.