9780817649470 - A Mathematical Introduction to Compressive Sensing di Foucart, Simon; Rauhut, Holger (13 risultati)

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Hardcover. Condizione: 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.

Condizione: 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. . . . . .

Condizione: 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. . . . . . Books ship from the US and Ireland.

Hardcover. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Hardcover. Condizione: Brand New. 2013 edition. 605 pages. 9.20x6.30x1.60 inches. In Stock.

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Buch. Condizione: 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.

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

Buch. Condizione: 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.

Condizione: 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.

Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. 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 Nature c/o IBS, Benzstrasse 21, 48619 Heek 644 pp. Englisch.