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Mauro Mangia – författare

Visar alla böcker från författaren Mauro Mangia. Handla med fri frakt och snabb leverans.

3 produkter

  1. Mauro Mangia, Fabio Pareschi, Valerio Cambareri, Riccardo Rovatti, Gianluca Setti - Adapted Compressed Sensing for Effective Hardware Implementations, Inbunden. Tillgänglighet: Lägg i varukorg

    Adapted Compressed Sensing for Effective Hardware Implementations

    A Design Flow for Signal-Level Optimization of Compressed Sensing Stages

    Av Mauro Mangia, Fabio Pareschi m. fl.

    Inbunden, 2017

    1096 kr

    Lägg i varukorg

    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 …

  2. Gianluca Setti, Riccardo Rovatti, Valerio Cambareri, Fabio Pareschi, Mauro Mangia - Adapted Compressed Sensing for Effective Hardware Implementations, E-bok. Tillgänglighet: Lägg i varukorg

    Adapted Compressed Sensing for Effective Hardware Implementations

    A Design Flow for Signal-Level Optimization of Compressed Sensing Stages

    Av Gianluca Setti, Riccardo Rovatti m. fl.

    E-bok, 2017

    1459 kr

    Lägg i varukorg

    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 …

  3. Mauro Mangia, Fabio Pareschi, Valerio Cambareri, Riccardo Rovatti, Gianluca Setti - Adapted Compressed Sensing for Effective Hardware Implementations, Häftad. Tillgänglighet: Lägg i varukorg

    Adapted Compressed Sensing for Effective Hardware Implementations

    A Design Flow for Signal-Level Optimization of Compressed Sensing Stages

    Av Mauro Mangia, Fabio Pareschi m. fl.

    Häftad, 2018

    1096 kr

    Lägg i varukorg

    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 …