9786200288615 - medical image compression using compressive sensing di sevak, mayur; thakkar, falgun (9 risultati)
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Da: moluna, Greven, Germaniamoluna
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Da: preigu, Osnabrück, Germaniapreigu
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EUR 37,45
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Taschenbuch. Condizione: Neu. Medical Image Compression Using Compressive Sensing | Mayur Sevak (u. a.) | Taschenbuch | 120 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786200288615 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbiet…er: preigu.
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Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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EUR 146,87
EUR 29,22 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 43,90
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Compressive sensing is new era and emerging platform for data acquisition and signal processing. Magical statement of Compressive sensing tells that one can recover certain signal or images from far fewer samples than traditionally… required. Compressive Sensing finds application in signal processing field like Image fusion,image restoration, image representation, DCT images ,image surveillance , super resolution etc. On encoding side it require two property of a signal that are sparsity and incoherence.First, any signal is converted into particular transform i.e wavelet or DCT , with help of sensing matrix it extracts required coefficients which has less dimensional than image dimensions and hence we can get resultant matrix. which is also called measurements which are non-adaptive. On decoding side due to low dimension of transmitted vector matrix it require convex optimization to solve this problem apart from this greedy algorithms and basis persuit are also helpful. Magic or surprise is that convex optimization (L1 minimization) provide solution to undetermined linear systems without knowing nature of undergoing parameters through the systems. 120 pp. Englisch.
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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EUR 69,17
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 71,91
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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EUR 43,90
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Compressive sensing is new era and emerging platform for data acquisition and signal processing. Magical statement of Compressive sensing tells that one can recover certain signal or images from far fewer samples than traditionally req…uired. Compressive Sensing finds application in signal processing field like Image fusion,image restoration, image representation, DCT images ,image surveillance , super resolution etc. On encoding side it require two property of a signal that are sparsity and incoherence.First, any signal is converted into particular transform i.e wavelet or DCT , with help of sensing matrix it extracts required coefficients which has less dimensional than image dimensions and hence we can get resultant matrix. which is also called measurements which are non-adaptive. On decoding side due to low dimension of transmitted vector matrix it require convex optimization to solve this problem apart from this greedy algorithms and basis persuit are also helpful. Magic or surprise is that convex optimization (L1 minimization) provide solution to undetermined linear systems without knowing nature of undergoing parameters through the systems.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 120 pp. Englisch.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 44,59
EUR 60,99 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Compressive sensing is new era and emerging platform for data acquisition and signal processing. Magical statement of Compressive sensing tells that one can recover certain signal or images from far fewer samples than traditionally requ…ired. Compressive Sensing finds application in signal processing field like Image fusion,image restoration, image representation, DCT images ,image surveillance , super resolution etc. On encoding side it require two property of a signal that are sparsity and incoherence.First, any signal is converted into particular transform i.e wavelet or DCT , with help of sensing matrix it extracts required coefficients which has less dimensional than image dimensions and hence we can get resultant matrix. which is also called measurements which are non-adaptive. On decoding side due to low dimension of transmitted vector matrix it require convex optimization to solve this problem apart from this greedy algorithms and basis persuit are also helpful. Magic or surprise is that convex optimization (L1 minimization) provide solution to undetermined linear systems without knowing nature of undergoing parameters through the systems.
