A Mathematical Introduction to Compressive Sensing

A Mathematical Introduction to Compressive Sensing
Author: Simon Foucart
Publisher: Springer Science & Business Media
Total Pages: 634
Release: 2013-08-13
Genre: Computers
ISBN: 0817649484

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.

Compressed Sensing in Information Processing

Compressed Sensing in Information Processing
Author: Gitta Kutyniok
Publisher: Springer Nature
Total Pages: 549
Release: 2022-10-20
Genre: Mathematics
ISBN: 3031097459

This contributed volume showcases the most significant results obtained from the DFG Priority Program on Compressed Sensing in Information Processing. Topics considered revolve around timely aspects of compressed sensing with a special focus on applications, including compressed sensing-like approaches to deep learning; bilinear compressed sensing - efficiency, structure, and robustness; structured compressive sensing via neural network learning; compressed sensing for massive MIMO; and security of future communication and compressive sensing.

Compressed Sensing & Sparse Filtering

Compressed Sensing & Sparse Filtering
Author: Avishy Y. Carmi
Publisher: Springer Science & Business Media
Total Pages: 505
Release: 2013-09-13
Genre: Technology & Engineering
ISBN: 364238398X

This book is aimed at presenting concepts, methods and algorithms ableto cope with undersampled and limited data. One such trend that recently gained popularity and to some extent revolutionised signal processing is compressed sensing. Compressed sensing builds upon the observation that many signals in nature are nearly sparse (or compressible, as they are normally referred to) in some domain, and consequently they can be reconstructed to within high accuracy from far fewer observations than traditionally held to be necessary. Apart from compressed sensing this book contains other related approaches. Each methodology has its own formalities for dealing with such problems. As an example, in the Bayesian approach, sparseness promoting priors such as Laplace and Cauchy are normally used for penalising improbable model variables, thus promoting low complexity solutions. Compressed sensing techniques and homotopy-type solutions, such as the LASSO, utilise l1-norm penalties for obtaining sparse solutions using fewer observations than conventionally needed. The book emphasizes on the role of sparsity as a machinery for promoting low complexity representations and likewise its connections to variable selection and dimensionality reduction in various engineering problems. This book is intended for researchers, academics and practitioners with interest in various aspects and applications of sparse signal processing.

Compressed Sensing in Radar Signal Processing

Compressed Sensing in Radar Signal Processing
Author: Antonio De Maio
Publisher: Cambridge University Press
Total Pages: 381
Release: 2019-10-17
Genre: Computers
ISBN: 1108428290

Learn about the latest theoretical and practical advances in radar signal processing using tools from compressive sensing.

Compressive Imaging: Structure, Sampling, Learning

Compressive Imaging: Structure, Sampling, Learning
Author: Ben Adcock
Publisher: Cambridge University Press
Total Pages: 620
Release: 2021-09-16
Genre: Computers
ISBN: 1108383912

Accurate, robust and fast image reconstruction is a critical task in many scientific, industrial and medical applications. Over the last decade, image reconstruction has been revolutionized by the rise of compressive imaging. It has fundamentally changed the way modern image reconstruction is performed. This in-depth treatment of the subject commences with a practical introduction to compressive imaging, supplemented with examples and downloadable code, intended for readers without extensive background in the subject. Next, it introduces core topics in compressive imaging – including compressed sensing, wavelets and optimization – in a concise yet rigorous way, before providing a detailed treatment of the mathematics of compressive imaging. The final part is devoted to recent trends in compressive imaging: deep learning and neural networks. With an eye to the next decade of imaging research, and using both empirical and mathematical insights, it examines the potential benefits and the pitfalls of these latest approaches.

Compressed Sensing

Compressed Sensing
Author: Jonathon M. Sheppard
Publisher:
Total Pages: 0
Release: 2018
Genre: Compressed sensing (Telecommunication)
ISBN: 9781536130829

In this compilation, the authors comprehensively investigate SOD effects in the homeostasis of mammal endometrium, using available information on several species and their team experience relating to the topic. In addition, they address its role in endometrial integrity and some uterine clinical conditions and infertility. The current knowledge of plant SODs, their abiotic-stress modulated expression and activity, and analyses results on genetic engineering of plant SODs are summarized. Significance of superoxide dismutases in the crop improvement for stress tolerance is also discussed. This book reviews the oxidative stress and damage to plants, while also summarizing the characteristics of SOD enzymes and discussing their involvement in the tolerance of plants against abiotic stress. Additionally, many authors have studied the protective role of SOD in the mice cochlea, however more recently the role of SOD gene polymorphisms in the susceptibility of sudden sensorineural hearing loss has been investigated. Therefore, the authors also examine the role of SOD in the cochlea and its involvement in the pathogenesis of noise induced hearing loss, age related hearing loss and sudden sensorineural hearing loss.

Sparse and Redundant Representations

Sparse and Redundant Representations
Author: Michael Elad
Publisher: Springer Science & Business Media
Total Pages: 376
Release: 2010-08-12
Genre: Mathematics
ISBN: 1441970118

A long long time ago, echoing philosophical and aesthetic principles that existed since antiquity, William of Ockham enounced the principle of parsimony, better known today as Ockham’s razor: “Entities should not be multiplied without neces sity. ” This principle enabled scientists to select the ”best” physical laws and theories to explain the workings of the Universe and continued to guide scienti?c research, leadingtobeautifulresultsliketheminimaldescriptionlength approachtostatistical inference and the related Kolmogorov complexity approach to pattern recognition. However, notions of complexity and description length are subjective concepts anddependonthelanguage“spoken”whenpresentingideasandresults. The?eldof sparse representations, that recently underwent a Big Bang like expansion, explic itly deals with the Yin Yang interplay between the parsimony of descriptions and the “language” or “dictionary” used in them, and it became an extremely exciting area of investigation. It already yielded a rich crop of mathematically pleasing, deep and beautiful results that quickly translated into a wealth of practical engineering applications. You are holding in your hands the ?rst guide book to Sparseland, and I am sure you’ll ?nd in it both familiar and new landscapes to see and admire, as well as ex cellent pointers that will help you ?nd further valuable treasures. Enjoy the journey to Sparseland! Haifa, Israel, December 2009 Alfred M. Bruckstein vii Preface This book was originally written to serve as the material for an advanced one semester (fourteen 2 hour lectures) graduate course for engineering students at the Technion, Israel.