A Mathematical Introduction to Compressive Sensing
- 種類:
- 電子ブック
- 責任表示:
- by Simon Foucart, Holger Rauhut
- 出版情報:
- New York, NY : Springer New York : Imprint: Birkhäuser, 2013
- 著者名:
- シリーズ名:
- Applied and Numerical Harmonic Analysis ;
- ISBN:
- 9780817649487 [0817649484]
- 注記:
- 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. Key features include: · The first textbook completely devoted to the topic of compressive sensing · Comprehensive treatment of the subject, including background material from probability theory, detailed proofs of the main theorems, and an outline
- ローカル注記:
- 学内専用E-BOOKS (local access only)
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