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A Mathematical Introduction to Compressive Sensing

2013-08-13 Computers
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Release : 2013-08-13
Genre : Computers
Kind : eBook
Book Rating : 484/5 ( reviews)

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Book Synopsis A Mathematical Introduction to Compressive Sensing by : Simon Foucart

Download or read book A Mathematical Introduction to Compressive Sensing written by Simon Foucart. This book was released on 2013-08-13. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Sparse Representations and Compressive Sensing for Imaging and Vision

2013-02-11 Technology & Engineering
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Release : 2013-02-11
Genre : Technology & Engineering
Kind : eBook
Book Rating : 815/5 ( reviews)

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Book Synopsis Sparse Representations and Compressive Sensing for Imaging and Vision by : Vishal M. Patel

Download or read book Sparse Representations and Compressive Sensing for Imaging and Vision written by Vishal M. Patel. This book was released on 2013-02-11. Available in PDF, EPUB and Kindle. Book excerpt: Compressed sensing or compressive sensing is a new concept in signal processing where one measures a small number of non-adaptive linear combinations of the signal. These measurements are usually much smaller than the number of samples that define the signal. From these small numbers of measurements, the signal is then reconstructed by non-linear procedure. Compressed sensing has recently emerged as a powerful tool for efficiently processing data in non-traditional ways. In this book, we highlight some of the key mathematical insights underlying sparse representation and compressed sensing and illustrate the role of these theories in classical vision, imaging and biometrics problems.

An Introduction to Compressed Sensing

2019-12-03 Technology & Engineering
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Release : 2019-12-03
Genre : Technology & Engineering
Kind : eBook
Book Rating : 12X/5 ( reviews)

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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.

Compressive Sensing in Healthcare

2020-05-18 Technology & Engineering
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Release : 2020-05-18
Genre : Technology & Engineering
Kind : eBook
Book Rating : 489/5 ( reviews)

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Book Synopsis Compressive Sensing in Healthcare by : Mahdi Khosravy

Download or read book Compressive Sensing in Healthcare written by Mahdi Khosravy. This book was released on 2020-05-18. Available in PDF, EPUB and Kindle. Book excerpt: Compressive Sensing in Healthcare, part of the Advances in Ubiquitous Sensing Applications for Healthcare series gives a review on compressive sensing techniques in a practical way, also presenting deterministic compressive sensing techniques that can be used in the field. The focus of the book is on healthcare applications for this technology. It is intended for both the creators of this technology and the end users of these products. The content includes the use of EEG and ECG, plus hardware and software requirements for building projects. Body area networks and body sensor networks are explored. Provides a toolbox for compressive sensing in health, presenting both mathematical and coding information Presents an intuitive introduction to compressive sensing, including MATLAB tutorials Covers applications of compressive sensing in health care

Data-Driven Science and Engineering

2022-05-05 Computers
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Release : 2022-05-05
Genre : Computers
Kind : eBook
Book Rating : 489/5 ( reviews)

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Book Synopsis Data-Driven Science and Engineering by : Steven L. Brunton

Download or read book Data-Driven Science and Engineering written by Steven L. Brunton. This book was released on 2022-05-05. Available in PDF, EPUB and Kindle. Book excerpt: A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.

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