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9781489977786: DSP Architecture Design Essentials

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This book addresses the gap between DSP algorithm design and implementation, using an approach to DSP architecture design that merges algorithm and system specifications with the intrinsic computational capability of the underlying technology.

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In DSP Architecture Design Essentials, authors Dejan Markovic and Robert W. Brodersen cover a key subject for the successful realization of DSP algorithms for communications, multimedia, and healthcare applications. The book addresses the need for DSP architecture design that maps advanced DSP algorithms to hardware in the most power- and area-efficient way.

The key feature of this text is a design methodology based on a high-level design model that leads to hardware implementation with minimum power and area. The methodology includes algorithm-level considerations such as automated word-length reduction and intrinsic data properties that can be leveraged to reduce hardware complexity. From a high-level data-flow graph model, an architecture exploration methodology based on linear programming is used to create an array of architectural solutions tailored to the underlying hardware technology.

The book is supplemented with online material: bibliography, design examples, CAD tutorials and custom software.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

  • EditoreSpringer
  • Data di pubblicazione2017
  • ISBN 10 1489977783
  • ISBN 13 9781489977786
  • RilegaturaCopertina flessibile
  • LinguaInglese
  • Numero di pagine368
  • Contatto del produttorenon disponibile

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9781441996596: DSP Architecture Design Essentials

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ISBN 10:  1441996591 ISBN 13:  9781441996596
Casa editrice: Springer Nature, 2012
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Dejan Markovic|Robert W. Brodersen
Editore: Springer US, 2017
ISBN 10: 1489977783 ISBN 13: 9781489977786
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Addresses the gap between DSP algorithm design and hardware implementationPresents a methodology for power- and area-efficient architecture designDone in close interaction with leading industrial researchersDesign methodology is veri. Codice articolo 458511052

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Robert W. Brodersen
Editore: Springer US Mai 2017, 2017
ISBN 10: 1489977783 ISBN 13: 9781489977786
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In DSP Architecture Design Essentials, authors Dejan Markovic and Robert W. Brodersen cover a key subject for the successful realization of DSP algorithms for communications, multimedia, and healthcare applications. The book addresses the need for DSP architecture design that maps advanced DSP algorithms to hardware in the most power- and area-efficient way.The key feature of this text is a design methodology based on a high-level design model that leads to hardware implementation with minimum power and area. The methodology includes algorithm-level considerations such as automated word-length reduction and intrinsic data properties that can be leveraged to reduce hardware complexity. From a high-level data-flow graph model, an architecture exploration methodology based on linear programming is used to create an array of architectural solutions tailored to the underlying hardware technology.The book is supplemented with online material: bibliography, design examples, CAD tutorials and custom software. 368 pp. Englisch. Codice articolo 9781489977786

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Robert W. Brodersen
ISBN 10: 1489977783 ISBN 13: 9781489977786
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Taschenbuch. Condizione: Neu. Neuware -In DSP Architecture Design Essentials, authors Dejan Markovi¿ and Robert W. Brodersen cover a key subject for the successful realization of DSP algorithms for communications, multimedia, and healthcare applications. The book addresses the need for DSP architecture design that maps advanced DSP algorithms to hardware in the most power- and area-efficient way.The key feature of this text is a design methodology based on a high-level design model that leads to hardware implementation with minimum power and area. The methodology includes algorithm-level considerations such as automated word-length reduction and intrinsic data properties that can be leveraged to reduce hardware complexity. From a high-level data-flow graph model, an architecture exploration methodology based on linear programming is used to create an array of architectural solutions tailored to the underlying hardware technology.The book is supplemented with online material: bibliography, design examples, CAD tutorials and custom software.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 368 pp. Englisch. Codice articolo 9781489977786

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Robert W. Brodersen
Editore: Springer US, Springer US, 2017
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - In DSP Architecture Design Essentials, authors Dejan Markovic and Robert W. Brodersen cover a key subject for the successful realization of DSP algorithms for communications, multimedia, and healthcare applications. The book addresses the need for DSP architecture design that maps advanced DSP algorithms to hardware in the most power- and area-efficient way.The key feature of this text is a design methodology based on a high-level design model that leads to hardware implementation with minimum power and area. The methodology includes algorithm-level considerations such as automated word-length reduction and intrinsic data properties that can be leveraged to reduce hardware complexity. From a high-level data-flow graph model, an architecture exploration methodology based on linear programming is used to create an array of architectural solutions tailored to the underlying hardware technology.The book is supplemented with online material: bibliography, design examples, CAD tutorials and custom software. Codice articolo 9781489977786

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Dejan Markovic
Editore: Springer, 2016
ISBN 10: 1489977783 ISBN 13: 9781489977786
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Paperback. Condizione: Brand New. reprint edition. 365 pages. 9.25x6.10x0.83 inches. In Stock. Codice articolo 1489977783

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