Compressed Sensing: Theory and Applications (Hardcover)

Compressed sensing is an exciting, rapidly growing field, attracting considerable attention in electrical engineering, applied mathematics, statistics and computer science. This book provides the first detailed introduction to the subject, highlighting recent theoretical advances and a range of applications, as well as outlining numerous remaining research challenges. After a thorough review of the basic theory, many cutting-edge techniques are presented, including advanced signal modeling, sub-Nyquist sampling of analog signals, non-asymptotic analysis of random matrices, adaptive sensing, greedy algorithms and use of graphical models. All chapters are written by leading researchers in the field, and consistent style and notation are utilized throughout. Key background information and clear definitions make this an ideal resource for researchers, graduate students and practitioners wanting to join this exciting research area. It can also serve as a supplementary textbook for courses on computer vision, coding theory, signal processing, image processing and algorithms for efficient data processing.

壓縮感知是一個令人興奮且快速發展的領域，在電機工程、應用數學、統計學和計算機科學中引起了相當大的關注。本書提供了對這一主題的首次詳細介紹，突出了最近的理論進展和各種應用，並概述了許多尚未解決的研究挑戰。在對基本理論進行全面回顧之後，介紹了許多尖端技術，包括先進的信號建模、模擬信號的次奈奎斯特取樣、隨機矩陣的非漸近分析、自適應感知、貪婪算法和圖模型的使用。所有章節均由該領域的領先研究人員撰寫，並且在整本書中使用一致的風格和符號。關鍵的背景信息和清晰的定義使其成為研究人員、研究生和從業人員加入這一令人興奮的研究領域的理想資源。它還可以作為計算機視覺、編碼理論、信號處理、圖像處理和高效數據處理算法等課程的補充教材。