Articles liés à A Mathematical Introduction to Compressive Sensing
Synopsis
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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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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A Mathematical Introduction to Compressive Sensing (Applied and Numerical Harmonic Analysis) [Hardcover] Foucart, Simon and Rauhut, Holger
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Birkhäuser, 2013
ISBN 10 : 0817649476
ISBN 13 : 9780817649470
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Vendeur : SpringBooks, Berlin, Allemagne
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A Mathematical Introduction to Compressive Sensing
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Springer New York, 2013
ISBN 10 : 0817649476
ISBN 13 : 9780817649470
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The first textbook completely devoted to the topic of compressive sensingComprehensive treatment of the subject, including background material from probability theory, detailed proofs of the main theorems, and an outline of possible applications. N° de réf. du vendeur 5975934
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A Mathematical Introduction to
Edité par
Birkhäuser, 2013
ISBN 10 : 0817649476
ISBN 13 : 9780817649470
Ancien ou d'occasion
Couverture rigide
Vendeur : SecondSale, Montgomery, IL, Etats-Unis
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Etat : Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc. N° de réf. du vendeur 00084052719
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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
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
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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A Mathematical Introduction to Compressive Sensing
Edité par
Springer New York, Springer New York Aug 2013, 2013
ISBN 10 : 0817649476
ISBN 13 : 9780817649470
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. 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.Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 644 pp. Englisch. N° de réf. du vendeur 9780817649470
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A Mathematical Introduction to Compressive Sensing
Edité par
Springer New York, Springer New York, 2013
ISBN 10 : 0817649476
ISBN 13 : 9780817649470
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
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)
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Etat : New. 2013. 2013th Edition. Hardcover. 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. Series: Applied and Numerical Harmonic Analysis. Num Pages: 625 pages, 13 black & white illustrations, biography. BIC Classification: PBKF; PDE; TJK; TTBM; UYAM. Category: (P) Professional & Vocational. Dimension: 241 x 162 x 39. Weight in Grams: 1088. . . . . . N° de réf. du vendeur V9780817649470
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A Mathematical Introduction to Compressive Sensing
Vendeur : Books Puddle, New York, NY, Etats-Unis
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Etat : New. pp. xviii + 625. N° de réf. du vendeur 2697512970
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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
Vendeur : HPB-Red, Dallas, TX, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Hardcover. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! N° de réf. du vendeur S_388406650
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