Isbn: 9783319613727 - adapted compressed sensing for effective hardware implementations: a design flow for signal-level optimization of compressed sensing stages (9 resultados)

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  • Idioma: Inglés

    Editorial: Cham, Springer., 2018

    3319613723 / 9783319613727

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    Librería: Universitätsbuchhandlung Herta Hold GmbH, Berlin, AlemaniaUniversitätsbuchhandlung Herta Hold GmbH

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    Miembro de asociación: VDAGIAQILAB

    Condición: Usado

    EUR 20,00

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    xiv, 319 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

  • Condición: Nuevo

    EUR 127,84

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    Cantidad disponible: Más de 20 disponibles

    Condición: New. In English.

  • Condición: Nuevo

    EUR 156,81

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    Cantidad disponible: 2 disponibles

    Hardcover. Condición: Brand New. 336 pages. 9.25x6.10x1.02 inches. In Stock.

  • Idioma: Inglés

    Editorial: Springer, 2017

    3319613723 / 9783319613727

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    Condición: Nuevo

    EUR 151,73

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    Cantidad disponible: 1 disponibles

    Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book describes algorithmic methods and hardware implementations that aim to help realize the promise of Compressed Sensing (CS), namely the ability to reconstruct high-dimensional signals from a properly chosen low-dimensional 'portrait'. The authors describe a design flow and some low-resource physical realizations of sensing systems based on CS. They highlight the pros and cons of several design choices from a pragmatic point of view, and show how a lightweight and mild but effective form of adaptation to the target signals can be the key to consistent resource saving. The basic principle of the devised design flow can be applied to almost any CS-based sensing system, including analog-to-information converters, and has been proven to fit anextremely diverse set of applications. Many practical aspects required to put a CS-based sensing systemto work are also addressed, including saturation, quantization, and leakage phenomena.

  • Idioma: Inglés

    Editorial: Springer, 2017

    3319613723 / 9783319613727

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    Librería: Buchpark, Trebbin, AlemaniaBuchpark

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    Condición: Usado - Excelente

    EUR 82,61

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    Cantidad disponible: 1 disponibles

    Condición: Sehr gut. Zustand: Sehr gut | Seiten: 336 | Sprache: Englisch | Produktart: Bücher | This book describes algorithmic methods and hardware implementations that aim to help realize the promise of Compressed Sensing (CS), namely the ability to reconstruct high-dimensional signals from a properly chosen low-dimensional ¿portrait¿. The authors describe a design flow and some low-resource physical realizations of sensing systems based on CS. They highlight the pros and cons of several design choices from a pragmatic point of view, and show how a lightweight and mild but effective form of adaptation to the target signals can be the key to consistent resource saving. The basic principle of the devised design flow can be applied to almost any CS-based sensing system, including analog-to-information converters, and has been proven to fit an extremely diverse set of applications. Many practical aspects required to put a CS-based sensing system to work are also addressed, including saturation, quantization, and leakage phenomena.

  • Idioma: Inglés

    Editorial: Springer, 2017

    3319613723 / 9783319613727

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    Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand

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    Condición: Nuevo

    EUR 86,24

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    Condición: new. Questo è un articolo print on demand.

  • Idioma: Inglés

    Editorial: Springer International Publishing Jul 2017, 2017

    3319613723 / 9783319613727

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    Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

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    Condición: Nuevo

    EUR 106,99

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    Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book describes algorithmic methods and hardware implementations that aim to help realize the promise of Compressed Sensing (CS), namely the ability to reconstruct high-dimensional signals from a properly chosen low-dimensional 'portrait'. The authors describe a design flow and some low-resource physical realizations of sensing systems based on CS. They highlight the pros and cons of several design choices from a pragmatic point of view, and show how a lightweight and mild but effective form of adaptation to the target signals can be the key to consistent resource saving. The basic principle of the devised design flow can be applied to almost any CS-based sensing system, including analog-to-information converters, and has been proven to fit anextremely diverse set of applications. Many practical aspects required to put a CS-based sensing systemto work are also addressed, including saturation, quantization, and leakage phenomena. 336 pp. Englisch.

  • Idioma: Inglés

    Editorial: Springer International Publishing, 2017

    3319613723 / 9783319613727

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    Librería: moluna, Greven, Alemaniamoluna

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    Condición: Nuevo

    EUR 92,27

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    Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Discusses the theory as necessary, but either in parallel with extremely simple examples or with reference to the performances that can be actually obtained by CS-based sensing systemsDescribes a design flow that can be .

  • Idioma: Inglés

    Editorial: Springer, Springer Jul 2017, 2017

    3319613723 / 9783319613727

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    Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

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    Condición: Nuevo

    EUR 106,99

    Envío por EUR 60,00 
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    Cantidad disponible: 1 disponibles

    Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book describes algorithmic methods and hardware implementations that aim to help realize the promise of Compressed Sensing (CS), namely the ability to reconstruct high-dimensional signals from a properly chosen low-dimensional 'portrait'. The authors describe a design flow and some low-resource physical realizations of sensing systems based on CS. They highlight the pros and cons of several design choices from a pragmatic point of view, and show how a lightweight and mild but effective form of adaptation to the target signals can be the key to consistent resource saving. The basic principle of the devised design flow can be applied to almost any CS-based sensing system, including analog-to-information converters, and has been proven to fit an extremely diverse set of applications. Many practical aspects required to put a CS-based sensing system to work are also addressed, including saturation, quantization, and leakage phenomena.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 336 pp. Englisch.