Articles liés à A Mathematical Introduction to Compressive Sensing
Synopsis
A Mathematical Introduction to Compressive Sensing This book introduces and explains the essential theory of compressive sensing from a mathematical perspective, offering a substantial collection of exercises with hints to solutions, along with MATLAB codes for algorithms and simulations. Full description
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Présentation de l'éditeur
At the intersection of mathematics, engineering, and computer science sits the thriving field of compressive sensing. Based on the premise that data acquisition and compression can be performed simultaneously, compressive sensing finds applications in imaging, signal processing, and many other domains. In the areas of applied mathematics, electrical engineering, and theoretical computer science, an explosion of research activity has already followed the theoretical results that highlighted the efficiency of the basic principles. The elegant ideas behind these principles are also of independent interest to pure mathematicians.
A Mathematical Introduction to Compressive Sensing gives a detailed account of the core theory upon which the field is build. With only moderate prerequisites, it is an excellent textbook for graduate courses in mathematics, engineering, and computer science. It also serves as a reliable resource for practitioners and researchers in these disciplines who want to acquire a careful understanding of the subject. A Mathematical Introduction to Compressive Sensing uses a mathematical perspective to present the core of the theory underlying compressive sensing.
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- ÉditeurBirkhauser Boston Inc
- Date d'édition2013
- ISBN 10 0817649476
- ISBN 13 9780817649470
- ReliureRelié
- Langueanglais
- Nombre de pages625
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A Mathematical Introduction to Compressive Sensing (Applied and Numerical Harmonic Analysis) [Hardcover] Foucart, Simon and Rauhut, Holger
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Mathematical Introduction to Compressive Sensing
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A Mathematical Introduction to
Edité par
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ISBN 10 : 0817649476
ISBN 13 : 9780817649470
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A Mathematical Introduction to Compressive Sensing
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Springer New York, Springer US, 2013
ISBN 10 : 0817649476
ISBN 13 : 9780817649470
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - At the intersection of mathematics, engineering, and computer science sits the thriving field of compressive sensing. Based on the premise that data acquisition and compression can be performed simultaneously, compressive sensing finds applications in imaging, signal processing, and many other domains. In the areas of applied mathematics, electrical engineering, and theoretical computer science, an explosion of research activity has already followed the theoretical results that highlighted the efficiency of the basic principles. The elegant ideas behind these principles are also of independent interest to pure mathematicians.A Mathematical Introduction to Compressive Sensing gives a detailed account of the core theory upon which the field is build. With only moderate prerequisites, it is an excellent textbook for graduate courses in mathematics, engineering, and computer science. It also serves as a reliable resource for practitioners and researchers in these disciplines who want to acquire a careful understanding of the subject. A Mathematical Introduction to Compressive Sensing uses a mathematical perspective to present the core of the theory underlying compressive sensing. N° de réf. du vendeur 9780817649470
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Mathematical Introduction to Compressive Sensing
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A Mathematical Introduction to Compressive Sensing (Applied and Numerical Harmonic Analysis)
Edité par
Birkhäuser, 2013
ISBN 10 : 0817649476
ISBN 13 : 9780817649470
Ancien ou d'occasion
Couverture rigide
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A Mathematical Introduction to Compressive Sensing (Applied and Numerical Harmonic Analysis)
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A Mathematical Introduction to Compressive Sensing (Hardcover)
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ISBN 10 : 0817649476
ISBN 13 : 9780817649470
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Hardcover. Etat : new. Hardcover. At the intersection of mathematics, engineering, and computer science sits the thriving field of compressive sensing. Based on the premise that data acquisition and compression can be performed simultaneously, compressive sensing finds applications in imaging, signal processing, and many other domains. In the areas of applied mathematics, electrical engineering, and theoretical computer science, an explosion of research activity has already followed the theoretical results that highlighted the efficiency of the basic principles. The elegant ideas behind these principles are also of independent interest to pure mathematicians.A Mathematical Introduction to Compressive Sensing gives a detailed account of the core theory upon which the field is build. With only moderate prerequisites, it is an excellent textbook for graduate courses in mathematics, engineering, and computer science. It also serves as a reliable resource for practitioners and researchers in these disciplines who want to acquire a careful understanding of the subject. A Mathematical Introduction to Compressive Sensing uses a mathematical perspective to present the core of the theory underlying compressive sensing. At the intersection of mathematics, engineering, and computer science sits the thriving field of compressive sensing. A Mathematical Introduction to Compressive Sensing uses a mathematical perspective to present the core of the theory underlying compressive sensing. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9780817649470
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A Mathematical Introduction to Compressive Sensing
Edité par
Springer New York Aug 2013, 2013
ISBN 10 : 0817649476
ISBN 13 : 9780817649470
Neuf
Couverture rigide
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -At the intersection of mathematics, engineering, and computer science sits the thriving field of compressive sensing. Based on the premise that data acquisition and compression can be performed simultaneously, compressive sensing finds applications in imaging, signal processing, and many other domains. In the areas of applied mathematics, electrical engineering, and theoretical computer science, an explosion of research activity has already followed the theoretical results that highlighted the efficiency of the basic principles. The elegant ideas behind these principles are also of independent interest to pure mathematicians.A Mathematical Introduction to Compressive Sensing gives a detailed account of the core theory upon which the field is build. With only moderate prerequisites, it is an excellent textbook for graduate courses in mathematics, engineering, and computer science. It also serves as a reliable resource for practitioners and researchers in these disciplines who want to acquire a careful understanding of the subject. A Mathematical Introduction to Compressive Sensing uses a mathematical perspective to present the core of the theory underlying compressive sensing. 644 pp. Englisch. N° de réf. du vendeur 9780817649470
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Mathematical Introduction to Compressive Sensing
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