| 期刊全稱 | A Mathematical Introduction to Compressive Sensing | | 影響因子2023 | Simon Foucart,Holger Rauhut | | 視頻video | http://file.papertrans.cn/142/141396/141396.mp4 | | 發(fā)行地址 | 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 the | | 學(xué)科分類 | Applied and Numerical Harmonic Analysis | | 圖書封面 |  | | 影響因子 | .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.. | | Pindex | Textbook 2013 |
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