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Author : Yonina C. Eldar
Release : 2012-05-17
Genre : Mathematics
Kind : eBook
Book Rating : 582/5 ( reviews)
Book Synopsis Compressed Sensing by : Yonina C. Eldar
Download or read book Compressed Sensing written by Yonina C. Eldar. This book was released on 2012-05-17. Available in PDF, EPUB and Kindle. Book excerpt: A detailed presentation of compressed sensing by leading researchers, covering the most significant theoretical and application-oriented advances.
Author : Holger Boche
Release : 2015-07-04
Genre : Mathematics
Kind : eBook
Book Rating : 427/5 ( reviews)
Book Synopsis Compressed Sensing and its Applications by : Holger Boche
Download or read book Compressed Sensing and its Applications written by Holger Boche. This book was released on 2015-07-04. Available in PDF, EPUB and Kindle. Book excerpt: Since publication of the initial papers in 2006, compressed sensing has captured the imagination of the international signal processing community, and the mathematical foundations are nowadays quite well understood. Parallel to the progress in mathematics, the potential applications of compressed sensing have been explored by many international groups of, in particular, engineers and applied mathematicians, achieving very promising advances in various areas such as communication theory, imaging sciences, optics, radar technology, sensor networks, or tomography. Since many applications have reached a mature state, the research center MATHEON in Berlin focusing on "Mathematics for Key Technologies", invited leading researchers on applications of compressed sensing from mathematics, computer science, and engineering to the "MATHEON Workshop 2013: Compressed Sensing and its Applications” in December 2013. It was the first workshop specifically focusing on the applications of compressed sensing. This book features contributions by the plenary and invited speakers of this workshop. To make this book accessible for those unfamiliar with compressed sensing, the book will not only contain chapters on various applications of compressed sensing written by plenary and invited speakers, but will also provide a general introduction into compressed sensing. The book is aimed at both graduate students and researchers in the areas of applied mathematics, computer science, and engineering as well as other applied scientists interested in the potential and applications of the novel methodology of compressed sensing. For those readers who are not already familiar with compressed sensing, an introduction to the basics of this theory will be included.
Author : M. Vidyasagar
Release : 2019-12-03
Genre : Technology & Engineering
Kind : eBook
Book Rating : 12X/5 ( reviews)
Book Synopsis An Introduction to Compressed Sensing by : M. Vidyasagar
Download or read book An Introduction to Compressed Sensing written by M. Vidyasagar. This book was released on 2019-12-03. Available in PDF, EPUB and Kindle. Book excerpt: Compressed sensing is a relatively recent area of research that refers to the recovery of high-dimensional but low-complexity objects from a limited number of measurements. The topic has applications to signal/image processing and computer algorithms, and it draws from a variety of mathematical techniques such as graph theory, probability theory, linear algebra, and optimization. The author presents significant concepts never before discussed as well as new advances in the theory, providing an in-depth initiation to the field of compressed sensing. An Introduction to Compressed Sensing contains substantial material on graph theory and the design of binary measurement matrices, which is missing in recent texts despite being poised to play a key role in the future of compressed sensing theory. It also covers several new developments in the field and is the only book to thoroughly study the problem of matrix recovery. The book supplies relevant results alongside their proofs in a compact and streamlined presentation that is easy to navigate. The core audience for this book is engineers, computer scientists, and statisticians who are interested in compressed sensing. Professionals working in image processing, speech processing, or seismic signal processing will also find the book of interest.
Author : Holger Boche
Release : 2018-01-17
Genre : Mathematics
Kind : eBook
Book Rating : 028/5 ( reviews)
Book Synopsis Compressed Sensing and its Applications by : Holger Boche
Download or read book Compressed Sensing and its Applications written by Holger Boche. This book was released on 2018-01-17. Available in PDF, EPUB and Kindle. Book excerpt: This contributed volume contains articles written by the plenary and invited speakers from the second international MATHEON Workshop 2015 that focus on applications of compressed sensing. Article authors address their techniques for solving the problems of compressed sensing, as well as connections to related areas like detecting community-like structures in graphs, curbatures on Grassmanians, and randomized tensor train singular value decompositions. Some of the novel applications covered include dimensionality reduction, information theory, random matrices, sparse approximation, and sparse recovery. This book is aimed at both graduate students and researchers in the areas of applied mathematics, computer science, and engineering, as well as other applied scientists exploring the potential applications for the novel methodology of compressed sensing. An introduction to the subject of compressed sensing is also provided for researchers interested in the field who are not as familiar with it.
Author : Otmar Scherzer
Release : 2010-11-23
Genre : Mathematics
Kind : eBook
Book Rating : 193/5 ( reviews)
Book Synopsis Handbook of Mathematical Methods in Imaging by : Otmar Scherzer
Download or read book Handbook of Mathematical Methods in Imaging written by Otmar Scherzer. This book was released on 2010-11-23. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Mathematical Methods in Imaging provides a comprehensive treatment of the mathematical techniques used in imaging science. The material is grouped into two central themes, namely, Inverse Problems (Algorithmic Reconstruction) and Signal and Image Processing. Each section within the themes covers applications (modeling), mathematics, numerical methods (using a case example) and open questions. Written by experts in the area, the presentation is mathematically rigorous. The entries are cross-referenced for easy navigation through connected topics. Available in both print and electronic forms, the handbook is enhanced by more than 150 illustrations and an extended bibliography. It will benefit students, scientists and researchers in applied mathematics. Engineers and computer scientists working in imaging will also find this handbook useful.
