Compressed Sensing With Side Information On The Feasible Region

Author : Mohammad Rostami
Publisher : Springer
Page : 69 pages
File Size : 51,6 Mb
Release : 2013-05-15
Category : Computers
ISBN : 9783319003665

Get Book

Compressed Sensing with Side Information on the Feasible Region by Mohammad Rostami Pdf

This book discusses compressive sensing in the presence of side information. Compressive sensing is an emerging technique for efficiently acquiring and reconstructing a signal. Interesting instances of Compressive Sensing (CS) can occur when, apart from sparsity, side information is available about the source signals. The side information can be about the source structure, distribution, etc. Such cases can be viewed as extensions of the classical CS. In these cases we are interested in incorporating the side information to either improve the quality of the source reconstruction or decrease the number of samples required for accurate reconstruction. In this book we assume availability of side information about the feasible region. The main applications investigated are image deblurring for optical imaging, 3D surface reconstruction, and reconstructing spatiotemporally correlated sources. The author shows that the side information can be used to improve the quality of the reconstruction compared to the classic compressive sensing. The book will be of interest to all researchers working on compressive sensing, inverse problems, and image processing.

Author : C.H. Chen
Publisher : CRC Press
Page : 379 pages
File Size : 41,6 Mb
Release : 2017-05-25
Category : Technology & Engineering
ISBN : 9781498774383

Get Book

Compressive Sensing of Earth Observations by C.H. Chen Pdf

Future remote sensing systems will make extensive use of Compressive Sensing (CS) as it becomes more integrated into the system design with increased high resolution sensor developments and the rising earth observation data generated each year. Written by leading experts in the field Compressive Sensing of Earth Observations provides a comprehensive and balanced coverage of the theory and applications of CS in all aspects of earth observations. This work covers a myriad of practical aspects such as the use of CS in detection of human vital signs in a cluttered environment and the corresponding modeling of rib-cage breathing. Readers are also presented with three different applications of CS to the ISAR imaging problem, which includes image reconstruction from compressed data, resolution enhancement, and image reconstruction from incomplete data.

Author : Mohammad Rostami
Publisher : CRC Press
Page : 220 pages
File Size : 53,7 Mb
Release : 2021-06-29
Category : Computers
ISBN : 9781000400571

Get Book

Transfer Learning through Embedding Spaces by Mohammad Rostami Pdf

Recent progress in artificial intelligence (AI) has revolutionized our everyday life. Many AI algorithms have reached human-level performance and AI agents are replacing humans in most professions. It is predicted that this trend will continue and 30% of work activities in 60% of current occupations will be automated. This success, however, is conditioned on availability of huge annotated datasets to training AI models. Data annotation is a time-consuming and expensive task which still is being performed by human workers. Learning efficiently from less data is a next step for making AI more similar to natural intelligence. Transfer learning has been suggested a remedy to relax the need for data annotation. The core idea in transfer learning is to transfer knowledge across similar tasks and use similarities and previously learned knowledge to learn more efficiently. In this book, we provide a brief background on transfer learning and then focus on the idea of transferring knowledge through intermediate embedding spaces. The idea is to couple and relate different learning through embedding spaces that encode task-level relations and similarities. We cover various machine learning scenarios and demonstrate that this idea can be used to overcome challenges of zero-shot learning, few-shot learning, domain adaptation, continual learning, lifelong learning, and collaborative learning.

Author : Gitta Kutyniok,Holger Rauhut,Robert J. Kunsch
Publisher : Springer Nature
Page : 549 pages
File Size : 45,6 Mb
Release : 2022-10-20
Category : Mathematics
ISBN : 9783031097454

Get Book

Compressed Sensing in Information Processing by Gitta Kutyniok,Holger Rauhut,Robert J. Kunsch Pdf

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.

Author : M. Vidyasagar
Publisher : SIAM
Page : 341 pages
File Size : 52,7 Mb
Release : 2019-12-03
Category : Technology & Engineering
ISBN : 9781611976120

Get Book

An Introduction to Compressed Sensing by M. Vidyasagar Pdf

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 : Yonina C. Eldar,Gitta Kutyniok
Publisher : Cambridge University Press
Page : 557 pages
File Size : 53,5 Mb
Release : 2012-05-17
Category : Technology & Engineering
ISBN : 9781107394391

Get Book

Compressed Sensing by Yonina C. Eldar,Gitta Kutyniok Pdf

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 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.

Author : Holger Boche,Giuseppe Caire,Robert Calderbank,Maximilian März,Gitta Kutyniok,Rudolf Mathar
Publisher : Birkhäuser
Page : 388 pages
File Size : 49,9 Mb
Release : 2018-01-17
Category : Mathematics
ISBN : 9783319698021

Get Book

Compressed Sensing and its Applications by Holger Boche,Giuseppe Caire,Robert Calderbank,Maximilian März,Gitta Kutyniok,Rudolf Mathar Pdf

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 : Simon Foucart,Holger Rauhut
Publisher : Springer Science & Business Media
Page : 634 pages
File Size : 40,8 Mb
Release : 2013-08-13
Category : Computers
ISBN : 9780817649487

Get Book

A Mathematical Introduction to Compressive Sensing by Simon Foucart,Holger Rauhut Pdf

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.

Author : Anonim
Publisher : Springer
Page : 0 pages
File Size : 51,6 Mb
Release : 2014-04-22
Category : Computers
ISBN : 0387307710

Get Book

Computer Vision by Anonim Pdf

This comprehensive reference provides easy access to relevant information on all aspects of Computer Vision. An A-Z format of over 240 entries offers a diverse range of topics for those seeking entry into any aspect within the broad field of Computer Vision. Over 200 Authors from both industry and academia contributed to this volume. Each entry includes synonyms, a definition and discussion of the topic, and a robust bibliography. Extensive cross-references to other entries support efficient, user-friendly searches for immediate access to relevant information. Entries were peer-reviewed by a distinguished international advisory board, both scientifically and geographically diverse, ensuring balanced coverage. Over 3700 bibliographic references for further reading enable deeper exploration into any of the topics covered. The content of Computer Vision: A Reference Guide is expository and tutorial, making the book a practical resource for students who are considering entering the field, as well as professionals in other fields who need to access this vital information but may not have the time to work their way through an entire text on their topic of interest.

Author : Vahid Majidzadeh Bafar,Alexandre Schmid
Publisher : Springer Science & Business Media
Page : 204 pages
File Size : 43,9 Mb
Release : 2013-03-19
Category : Technology & Engineering
ISBN : 9781461467021

Get Book

Wireless Cortical Implantable Systems by Vahid Majidzadeh Bafar,Alexandre Schmid Pdf

Wireless Cortical Implantable Systems examines the design for data acquisition and transmission in cortical implants. The first part of the book covers existing system level cortical implants, as well as future devices. The authors discuss the major constraints in terms of microelectronic integrations are presented. The second part of the book focuses on system-level as well as circuit and system level solutions to the development of ultra low-power and low-noise microelectronics for cortical implants. Existing solutions are presented and novel methods and solutions proposed. The third part of the book focuses on the usage of digital impulse radio ultra wide band transmission as an efficient method to transmit cortically neural recorded data at high data rate to the outside world. Original architectural and circuit and system solutions are discussed.

Author : James J. Pearson
Publisher : Unknown
Page : 218 pages
File Size : 42,7 Mb
Release : 1995
Category : Science
ISBN : UOM:39015037321042

Get Book

Geographic Information Systems, Photogrammetry, and Geological/geophysical Remote Sensing by James J. Pearson Pdf

Author : Mohamed Ibnkahla
Publisher : CRC Press
Page : 354 pages
File Size : 46,9 Mb
Release : 2018-09-03
Category : Computers
ISBN : 9781351831857

Get Book

Cooperative Cognitive Radio Networks by Mohamed Ibnkahla Pdf

Cooperative Cognitive Radio Networks: The Complete Spectrum Cycle provides a solid understanding of the foundations of cognitive radio technology, from spectrum sensing, access, and handoff to routing, trading, and security. Written in a tutorial style with several illustrative examples, this comprehensive book: Gives an overview of cognitive radio systems and explains the different components of the spectrum cycle Features step-by-step analyses of the different algorithms and systems, supported by extensive computer simulations, figures, tables, and references Fulfills the need for a single source of information on all aspects of the spectrum cycle, including the physical, link, medium access, network, and application layers Offering a unifying view of the various approaches and methodologies, Cooperative Cognitive Radio Networks: The Complete Spectrum Cycle presents the state of the art of cognitive radio technology, addressing all phases of the spectrum access cycle.

Author : Mauro Mangia,Fabio Pareschi,Valerio Cambareri,Riccardo Rovatti,Gianluca Setti
Publisher : Springer
Page : 319 pages
File Size : 47,9 Mb
Release : 2017-07-14
Category : Technology & Engineering
ISBN : 9783319613734

Get Book

Adapted Compressed Sensing for Effective Hardware Implementations by Mauro Mangia,Fabio Pareschi,Valerio Cambareri,Riccardo Rovatti,Gianluca Setti Pdf

This book describes algorithmic methods and hardware implementations that aim to help realize the promise of Compressed Sensing (CS), namely the ability to reconstruct high-dimensional signals from a properly chosen low-dimensional “portrait”. The authors describe a design flow and some low-resource physical realizations of sensing systems based on CS. They highlight the pros and cons of several design choices from a pragmatic point of view, and show how a lightweight and mild but effective form of adaptation to the target signals can be the key to consistent resource saving. The basic principle of the devised design flow can be applied to almost any CS-based sensing system, including analog-to-information converters, and has been proven to fit an extremely diverse set of applications. Many practical aspects required to put a CS-based sensing system to work are also addressed, including saturation, quantization, and leakage phenomena.

Author : Holger Boche,Giuseppe Caire,Robert Calderbank,Gitta Kutyniok,Rudolf Mathar,Philipp Petersen
Publisher : Birkhäuser
Page : 305 pages
File Size : 55,6 Mb
Release : 2019-08-13
Category : Mathematics
ISBN : 9783319730745

Get Book

Compressed Sensing and Its Applications by Holger Boche,Giuseppe Caire,Robert Calderbank,Gitta Kutyniok,Rudolf Mathar,Philipp Petersen Pdf

The chapters in this volume highlight the state-of-the-art of compressed sensing and are based on talks given at the third international MATHEON conference on the same topic, held from December 4-8, 2017 at the Technical University in Berlin. In addition to methods in compressed sensing, chapters provide insights into cutting edge applications of deep learning in data science, highlighting the overlapping ideas and methods that connect the fields of compressed sensing and deep learning. Specific topics covered include: Quantized compressed sensing Classification Machine learning Oracle inequalities Non-convex optimization Image reconstruction Statistical learning theory This volume will be a valuable resource for graduate students and researchers in the areas of mathematics, computer science, and engineering, as well as other applied scientists exploring potential applications of compressed sensing.

Author : Vernon Singhroy
Publisher : Springer Nature
Page : 366 pages
File Size : 43,8 Mb
Release : 2020-12-23
Category : Technology & Engineering
ISBN : 9783030591090

Get Book

Advances in Remote Sensing for Infrastructure Monitoring by Vernon Singhroy Pdf

This volume provides international case studies of practical and advanced methods using satellite images integrated with other airborne, drone images and field data to monitor infrastructure. The book is timely, as infrastructure spending by national governments is increasing and robust monitoring techniques are needed to keep pace with climate change impacts affecting infrastructures globally. The expert international contributions that comprise the book provide examples of advanced methods using InSAR, high-resolution optical and radar images, LIDAR, UAV, geophysical techniques and their applications to civil infrastructure. The case studies focus on high-resolution, rapid time-series radar interferometry to monitor highways, railways, pipelines, bridges, urban, and water conveyance infrastructures. Other case studies use optical and radar images to characterize urban infrastructure and monitor damages from floods, oil spills and conflicts. The case studies are global focusing on infrastructure projects in Canada, Dominica Guyana, India Italy, Syria Taiwan, United States and the United Kingdom. This compilation of selected case studies will provide useful guidelines for the civil infrastructure characterization and monitoring communities. The book will be of interest to infrastructure consultants and professionals, scientific communities in earth observation and advanced imaging methods, and researchers and professors in earth sciences, climate change, and civil and geoengineering.