Cooperative And Graph Signal Processing

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Cooperative and Graph Signal Processing

Cooperative and Graph Signal Processing
  • Author : Petar Djuric,Cédric Richard
  • Publisher : Academic Press
  • Release Date : 2018-07-04
  • Total pages : 866
  • ISBN : 0128136774
  • File Size : 13,5 Mb
  • Total Download : 575
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Cooperative and Graph Signal Processing: Principles and Applications presents the fundamentals of signal processing over networks and the latest advances in graph signal processing. A range of key concepts are clearly explained, including learning, adaptation, optimization, control, inference and machine learning. Building on the principles of these areas, the book then shows how they are relevant to understanding distributed communication, networking and sensing and social networks. Finally, the book shows how the principles are applied to a range of applications, such as Big data, Media and video, Smart grids, Internet of Things, Wireless health and Neuroscience. With this book readers will learn the basics of adaptation and learning in networks, the essentials of detection, estimation and filtering, Bayesian inference in networks, optimization and control, machine learning, signal processing on graphs, signal processing for distributed communication, social networks from the perspective of flow of information, and how to apply signal processing methods in distributed settings. Presents the first book on cooperative signal processing and graph signal processing Provides a range of applications and application areas that are thoroughly covered Includes an editor in chief and associate editor from the IEEE Transactions on Signal Processing and Information Processing over Networks who have recruited top contributors for the book

Cooperative and Graph Signal Processing

Cooperative and Graph Signal Processing
  • Author : Petar Djuric,Cédric Richard
  • Publisher : Academic Press
  • Release Date : 2018-07-04
  • Total pages : 866
  • ISBN : 9780128136782
  • File Size : 39,9 Mb
  • Total Download : 570
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Download Cooperative and Graph Signal Processing in PDF, Epub, and Kindle

Cooperative and Graph Signal Processing: Principles and Applications presents the fundamentals of signal processing over networks and the latest advances in graph signal processing. A range of key concepts are clearly explained, including learning, adaptation, optimization, control, inference and machine learning. Building on the principles of these areas, the book then shows how they are relevant to understanding distributed communication, networking and sensing and social networks. Finally, the book shows how the principles are applied to a range of applications, such as Big data, Media and video, Smart grids, Internet of Things, Wireless health and Neuroscience. With this book readers will learn the basics of adaptation and learning in networks, the essentials of detection, estimation and filtering, Bayesian inference in networks, optimization and control, machine learning, signal processing on graphs, signal processing for distributed communication, social networks from the perspective of flow of information, and how to apply signal processing methods in distributed settings. Presents the first book on cooperative signal processing and graph signal processing Provides a range of applications and application areas that are thoroughly covered Includes an editor in chief and associate editor from the IEEE Transactions on Signal Processing and Information Processing over Networks who have recruited top contributors for the book

Vertex-Frequency Analysis of Graph Signals

Vertex-Frequency Analysis of Graph Signals
  • Author : Ljubiša Stanković,Ervin Sejdić
  • Publisher : Springer
  • Release Date : 2018-12-01
  • Total pages : 507
  • ISBN : 9783030035747
  • File Size : 54,6 Mb
  • Total Download : 800
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This book introduces new methods to analyze vertex-varying graph signals. In many real-world scenarios, the data sensing domain is not a regular grid, but a more complex network that consists of sensing points (vertices) and edges (relating the sensing points). Furthermore, sensing geometry or signal properties define the relation among sensed signal points. Even for the data sensed in the well-defined time or space domain, the introduction of new relationships among the sensing points may produce new insights in the analysis and result in more advanced data processing techniques. The data domain, in these cases and discussed in this book, is defined by a graph. Graphs exploit the fundamental relations among the data points. Processing of signals whose sensing domains are defined by graphs resulted in graph data processing as an emerging field in signal processing. Although signal processing techniques for the analysis of time-varying signals are well established, the corresponding graph signal processing equivalent approaches are still in their infancy. This book presents novel approaches to analyze vertex-varying graph signals. The vertex-frequency analysis methods use the Laplacian or adjacency matrix to establish connections between vertex and spectral (frequency) domain in order to analyze local signal behavior where edge connections are used for graph signal localization. The book applies combined concepts from time-frequency and wavelet analyses of classical signal processing to the analysis of graph signals. Covering analytical tools for vertex-varying applications, this book is of interest to researchers and practitioners in engineering, science, neuroscience, genome processing, just to name a few. It is also a valuable resource for postgraduate students and researchers looking to expand their knowledge of the vertex-frequency analysis theory and its applications. The book consists of 15 chapters contributed by 41 leading researches in the field.

Online Learning and Adaptive Filters

Online Learning and Adaptive Filters
  • Author : Paulo S. R. Diniz,Marcello L. R. de Campos,Wallace A. Martins,Markus V. S. Lima,Jose A. Apolinário, Jr
  • Publisher : Cambridge University Press
  • Release Date : 2022-11-30
  • Total pages : 269
  • ISBN : 9781108842129
  • File Size : 21,8 Mb
  • Total Download : 212
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Discover up-to-date techniques and algorithms in this concise, intuitive text, with extensive solutions for challenging learning problems.

Advanced Data Analytics for Power Systems

Advanced Data Analytics for Power Systems
  • Author : Ali Tajer,Samir M. Perlaza,H. Vincent Poor
  • Publisher : Cambridge University Press
  • Release Date : 2021-04-08
  • Total pages : 601
  • ISBN : 9781108494755
  • File Size : 15,6 Mb
  • Total Download : 789
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Experts in data analytics and power engineering present techniques addressing the needs of modern power systems, covering theory and applications related to power system reliability, efficiency, and security. With topics spanning large-scale and distributed optimization, statistical learning, big data analytics, graph theory, and game theory, this is an essential resource for graduate students and researchers in academia and industry with backgrounds in power systems engineering, applied mathematics, and computer science.

Excursions in Harmonic Analysis, Volume 6

Excursions in Harmonic Analysis, Volume 6
  • Author : Matthew Hirn,Shidong Li,Kasso A. Okoudjou,Sandra Saliani,Özgür Yilmaz
  • Publisher : Springer Nature
  • Release Date : 2021-09-01
  • Total pages : 440
  • ISBN : 9783030696375
  • File Size : 19,5 Mb
  • Total Download : 762
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John J. Benedetto has had a profound influence not only on the direction of harmonic analysis and its applications, but also on the entire community of people involved in the field. The chapters in this volume – compiled on the occasion of his 80th birthday – are written by leading researchers in the field and pay tribute to John’s many significant and lasting achievements. Covering a wide range of topics in harmonic analysis and related areas, these chapters are organized into four main parts: harmonic analysis, wavelets and frames, sampling and signal processing, and compressed sensing and optimization. An introductory chapter also provides a brief overview of John’s life and mathematical career. This volume will be an excellent reference for graduate students, researchers, and professionals in pure and applied mathematics, engineering, and physics.

Modeling, Stochastic Control, Optimization, and Applications

Modeling, Stochastic Control, Optimization, and Applications
  • Author : George Yin,Qing Zhang
  • Publisher : Springer
  • Release Date : 2019-07-16
  • Total pages : 599
  • ISBN : 9783030254988
  • File Size : 31,9 Mb
  • Total Download : 303
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This volume collects papers, based on invited talks given at the IMA workshop in Modeling, Stochastic Control, Optimization, and Related Applications, held at the Institute for Mathematics and Its Applications, University of Minnesota, during May and June, 2018. There were four week-long workshops during the conference. They are (1) stochastic control, computation methods, and applications, (2) queueing theory and networked systems, (3) ecological and biological applications, and (4) finance and economics applications. For broader impacts, researchers from different fields covering both theoretically oriented and application intensive areas were invited to participate in the conference. It brought together researchers from multi-disciplinary communities in applied mathematics, applied probability, engineering, biology, ecology, and networked science, to review, and substantially update most recent progress. As an archive, this volume presents some of the highlights of the workshops, and collect papers covering a broad range of topics.

Internet of Things and Its Applications

Internet of Things and Its Applications
  • Author : Sachi Nandan Mohanty,Jyotir Moy Chatterjee,Suneeta Satpathy
  • Publisher : Springer Nature
  • Release Date : 2021-11-25
  • Total pages : 573
  • ISBN : 9783030775285
  • File Size : 24,7 Mb
  • Total Download : 900
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This book offers a holistic approach to the Internet of Things (IoT) model, covering both the technologies and their applications, focusing on uniquely identifiable objects and their virtual representations in an Internet-like structure. The authors add to the rapid growth in research on IoT communications and networks, confirming the scalability and broad reach of the core concepts. The book is filled with examples of innovative applications and real-world case studies. The authors also address the business, social, and legal aspects of the Internet of Things and explore the critical topics of security and privacy and their challenges for both individuals and organizations. The contributions are from international experts in academia, industry, and research.

Sampling Techniques for Supervised or Unsupervised Tasks

Sampling Techniques for Supervised or Unsupervised Tasks
  • Author : Frédéric Ros,Serge Guillaume
  • Publisher : Springer Nature
  • Release Date : 2019-10-26
  • Total pages : 232
  • ISBN : 9783030293499
  • File Size : 15,7 Mb
  • Total Download : 479
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This book describes in detail sampling techniques that can be used for unsupervised and supervised cases, with a focus on sampling techniques for machine learning algorithms. It covers theory and models of sampling methods for managing scalability and the “curse of dimensionality”, their implementations, evaluations, and applications. A large part of the book is dedicated to database comprising standard feature vectors, and a special section is reserved to the handling of more complex objects and dynamic scenarios. The book is ideal for anyone teaching or learning pattern recognition and interesting teaching or learning pattern recognition and is interested in the big data challenge. It provides an accessible introduction to the field and discusses the state of the art concerning sampling techniques for supervised and unsupervised task. Provides a comprehensive description of sampling techniques for unsupervised and supervised tasks; Describe implementation and evaluation of algorithms that simultaneously manage scalable problems and curse of dimensionality; Addresses the role of sampling in dynamic scenarios, sampling when dealing with complex objects, and new challenges arising from big data. "This book represents a timely collection of state-of-the art research of sampling techniques, suitable for anyone who wants to become more familiar with these helpful techniques for tackling the big data challenge." M. Emre Celebi, Ph.D., Professor and Chair, Department of Computer Science, University of Central Arkansas "In science the difficulty is not to have ideas, but it is to make them work" From Carlo Rovelli

Inference and Learning from Data: Volume 1

Inference and Learning from Data: Volume 1
  • Author : Ali H. Sayed
  • Publisher : Cambridge University Press
  • Release Date : 2022-12-22
  • Total pages : 1106
  • ISBN : 9781009218139
  • File Size : 16,9 Mb
  • Total Download : 126
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This extraordinary three-volume work, written in an engaging and rigorous style by a world authority in the field, provides an accessible, comprehensive introduction to the full spectrum of mathematical and statistical techniques underpinning contemporary methods in data-driven learning and inference. This first volume, Foundations, introduces core topics in inference and learning, such as matrix theory, linear algebra, random variables, convex optimization and stochastic optimization, and prepares students for studying their practical application in later volumes. A consistent structure and pedagogy is employed throughout this volume to reinforce student understanding, with over 600 end-of-chapter problems (including solutions for instructors), 100 figures, 180 solved examples, datasets and downloadable Matlab code. Supported by sister volumes Inference and Learning, and unique in its scale and depth, this textbook sequence is ideal for early-career researchers and graduate students across many courses in signal processing, machine learning, statistical analysis, data science and inference.

Inference and Learning from Data

Inference and Learning from Data
  • Author : Ali H. Sayed
  • Publisher : Cambridge University Press
  • Release Date : 2022-11-30
  • Total pages : 1165
  • ISBN : 9781009218269
  • File Size : 38,9 Mb
  • Total Download : 553
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Discover techniques for inferring unknown variables and quantities with the second volume of this extraordinary three-volume set.

Building an Effective Security Program for Distributed Energy Resources and Systems

Building an Effective Security Program for Distributed Energy Resources and Systems
  • Author : Mariana Hentea
  • Publisher : John Wiley & Sons
  • Release Date : 2021-04-06
  • Total pages : 608
  • ISBN : 9781119070429
  • File Size : 54,7 Mb
  • Total Download : 220
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Building an Effective Security Program for Distributed Energy Resources and Systems Build a critical and effective security program for DERs Building an Effective Security Program for Distributed Energy Resources and Systems requires a unified approach to establishing a critical security program for DER systems and Smart Grid applications. The methodology provided integrates systems security engineering principles, techniques, standards, and best practices. This publication introduces engineers on the design, implementation, and maintenance of a security program for distributed energy resources (DERs), smart grid, and industrial control systems. It provides security professionals with understanding the specific requirements of industrial control systems and real-time constrained applications for power systems. This book: Describes the cybersecurity needs for DERs and power grid as critical infrastructure Introduces the information security principles to assess and manage the security and privacy risks of the emerging Smart Grid technologies Outlines the functions of the security program as well as the scope and differences between traditional IT system security requirements and those required for industrial control systems such as SCADA systems Offers a full array of resources— cybersecurity concepts, frameworks, and emerging trends Security Professionals and Engineers can use Building an Effective Security Program for Distributed Energy Resources and Systems as a reliable resource that is dedicated to the essential topic of security for distributed energy resources and power grids. They will find standards, guidelines, and recommendations from standards organizations, such as ISO, IEC, NIST, IEEE, ENISA, ISA, ISACA, and ISF, conveniently included for reference within chapters.

Cooperative Cellular Wireless Networks

Cooperative Cellular Wireless Networks
  • Author : Ekram Hossain,Dong In Kim,Vijay K. Bhargava
  • Publisher : Cambridge University Press
  • Release Date : 2011-03-10
  • Total pages : 229
  • ISBN : 9781139500494
  • File Size : 16,6 Mb
  • Total Download : 881
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A self-contained guide to the state-of-the-art in cooperative communications and networking techniques for next generation cellular wireless systems, this comprehensive book provides a succinct understanding of the theory, fundamentals and techniques involved in achieving efficient cooperative wireless communications in cellular wireless networks. It consolidates the essential information, addressing both theoretical and practical aspects of cooperative communications and networking in the context of cellular design. This one-stop resource covers the basics of cooperative communications techniques for cellular systems, advanced transceiver design, relay-based cellular networks, and game-theoretic and micro-economic models for protocol design in cooperative cellular wireless networks. Details of ongoing standardization activities are also included. With contributions from experts in the field divided into five distinct sections, this easy-to-follow book delivers the background needed to develop and implement cooperative mechanisms for cellular wireless networks.

Positioning and Navigation in Complex Environments

Positioning and Navigation in Complex Environments
  • Author : Yu, Kegen
  • Publisher : IGI Global
  • Release Date : 2018-01-05
  • Total pages : 577
  • ISBN : 9781522535294
  • File Size : 27,8 Mb
  • Total Download : 989
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The limitations of satellites create a large gap in assistive directional technologies, especially indoors. The methods and advances in alternate directional technologies is allowing for new systems to fill the gaps caused by the limitations of GPS systems. Positioning and Navigation in Complex Environments is a critical scholarly resource that examines the methodologies and advances in technologies that allow for indoor navigation. Featuring insight on a broad scope of topics, such as multipath mitigation, Global Navigation Satellite System (GNSS), and multi-sensor integration, this book is directed toward data scientists, engineers, government agencies, researchers, and graduate-level students.

Signal Processing for Cognitive Radios

Signal Processing for Cognitive Radios
  • Author : Sudharman K. Jayaweera
  • Publisher : John Wiley & Sons
  • Release Date : 2014-11-19
  • Total pages : 768
  • ISBN : 9781118986769
  • File Size : 54,5 Mb
  • Total Download : 746
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This book examines signal processing techniques for cognitive radios. The book is divided into three parts: Part I, is an introduction to cognitive radios and presents a history of the cognitive radio (CR), and introduce their architecture, functionalities, ideal aspects, hardware platforms, and state-of-the-art developments. Dr. Jayaweera also introduces the specific type of CR that has gained the most research attention in recent years: the CR for Dynamic Spectrum Access (DSA). Part II of the book, Theoretical Foundations, guides the reader from classical to modern theories on statistical signal processing and inference. The author addresses detection and estimation theory, power spectrum estimation, classification, adaptive algorithms (machine learning), and inference and decision processes. Applications to the signal processing, inference and learning problems encountered in cognitive radios are interspersed throughout with concrete and accessible examples. Part III of the book, Signal Processing in Radios, identifies the key signal processing, inference, and learning tasks to be performed by wideband autonomous cognitive radios. The author provides signal processing solutions to each task by relating the tasks to materials covered in Part II. Specialized chapters then discuss specific signal processing algorithms required for DSA and DSS cognitive radios.

Introduction to Graph Signal Processing

Introduction to Graph Signal Processing
  • Author : Antonio Ortega
  • Publisher : Cambridge University Press
  • Release Date : 2022-06-09
  • Total pages : 229
  • ISBN : 9781108640176
  • File Size : 13,5 Mb
  • Total Download : 780
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An intuitive and accessible text explaining the fundamentals and applications of graph signal processing. Requiring only an elementary understanding of linear algebra, it covers both basic and advanced topics, including node domain processing, graph signal frequency, sampling, and graph signal representations, as well as how to choose a graph. Understand the basic insights behind key concepts and learn how graphs can be associated to a range of specific applications across physical, biological and social networks, distributed sensor networks, image and video processing, and machine learning. With numerous exercises and Matlab examples to help put knowledge into practice, and a solutions manual available online for instructors, this unique text is essential reading for graduate and senior undergraduate students taking courses on graph signal processing, signal processing, information processing, and data analysis, as well as researchers and industry professionals.

Distributed Cooperative Control

Distributed Cooperative Control
  • Author : Yi Guo
  • Publisher : John Wiley & Sons
  • Release Date : 2017-03-03
  • Total pages : 240
  • ISBN : 9781119216100
  • File Size : 36,8 Mb
  • Total Download : 226
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Examines new cooperative control methodologies tailored to real-world applications in various domains such as in communication systems, physics systems, and multi-robotic systems Provides the fundamental mechanism for solving collective behaviors in naturally-occurring systems as well as cooperative behaviors in man-made systems Discusses cooperative control methodologies using real-world applications, including semi-conductor laser arrays, mobile sensor networks, and multi-robotic systems Includes results from the research group at the Stevens Institute of Technology to show how advanced control technologies can impact challenging issues, such as high energy systems and oil spill monitoring

Cooperative Communications for Improved Wireless Network Transmission: Framework for Virtual Antenna Array Applications

Cooperative Communications for Improved Wireless Network Transmission: Framework for Virtual Antenna Array Applications
  • Author : Uysal, Murat
  • Publisher : IGI Global
  • Release Date : 2009-07-31
  • Total pages : 632
  • ISBN : 9781605666662
  • File Size : 50,5 Mb
  • Total Download : 926
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Offers practitioners, researchers, and academicians with fundamental principles of cooperative communication. This book provides readers diverse findings and exposes underlying issues in the analysis, design, and optimization of wireless systems.

Cooperative Localization and Navigation

Cooperative Localization and Navigation
  • Author : Chao Gao,Guorong Zhao,Hassen Fourati
  • Publisher : CRC Press
  • Release Date : 2019-08-21
  • Total pages : 636
  • ISBN : 9780429016684
  • File Size : 31,5 Mb
  • Total Download : 691
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This book captures the latest results and techniques for cooperative localization and navigation drawn from a broad array of disciplines. It provides the reader with a generic and comprehensive view of modeling, strategies, and state estimation methodologies in that fields. It discusses the most recent research and novel advances in that direction, exploring the design of algorithms and architectures, benefits, and challenging aspects, as well as a potential broad array of disciplines, including wireless communication, indoor localization, robotics, emergency rescue, motion analysis, etc.

Cooperative Design, Visualization, and Engineering

Cooperative Design, Visualization, and Engineering
  • Author : Yuhua Luo
  • Publisher : Springer
  • Release Date : 2008-09-22
  • Total pages : 312
  • ISBN : 9783540880110
  • File Size : 52,5 Mb
  • Total Download : 711
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This book constitutes the refereed proceedings of the 5th International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2008, held in Calvià, Mallorca, Spain, in September 2008. The 45 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers cover all current issues in cooperative design, visualization, and engineering, ranging from theoretical and methodological topics to various systems and frameworks to applications in a variety of fields. The papers are organized in topical segments on cooperative design, cooperative visualization, cooperative engineering, cooperative applications, as well as basic theories, methods and technologies that support CDVE.

Statistical Signal Processing in Engineering

Statistical Signal Processing in Engineering
  • Author : Umberto Spagnolini
  • Publisher : John Wiley & Sons
  • Release Date : 2018-02-05
  • Total pages : 604
  • ISBN : 9781119293972
  • File Size : 26,8 Mb
  • Total Download : 571
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A problem-solving approach to statistical signal processing for practicing engineers, technicians, and graduate students This book takes a pragmatic approach in solving a set of common problems engineers and technicians encounter when processing signals. In writing it, the author drew on his vast theoretical and practical experience in the field to provide a quick-solution manual for technicians and engineers, offering field-tested solutions to most problems engineers can encounter. At the same time, the book delineates the basic concepts and applied mathematics underlying each solution so that readers can go deeper into the theory to gain a better idea of the solution’s limitations and potential pitfalls, and thus tailor the best solution for the specific engineering application. Uniquely, Statistical Signal Processing in Engineering can also function as a textbook for engineering graduates and post-graduates. Dr. Spagnolini, who has had a quarter of a century of experience teaching graduate-level courses in digital and statistical signal processing methods, provides a detailed axiomatic presentation of the conceptual and mathematical foundations of statistical signal processing that will challenge students’ analytical skills and motivate them to develop new applications on their own, or better understand the motivation underlining the existing solutions. Throughout the book, some real-world examples demonstrate how powerful a tool statistical signal processing is in practice across a wide range of applications. Takes an interdisciplinary approach, integrating basic concepts and tools for statistical signal processing Informed by its author’s vast experience as both a practitioner and teacher Offers a hands-on approach to solving problems in statistical signal processing Covers a broad range of applications, including communication systems, machine learning, wavefield and array processing, remote sensing, image filtering and distributed computations Features numerous real-world examples from a wide range of applications showing the mathematical concepts involved in practice Includes MATLAB code of many of the experiments in the book Statistical Signal Processing in Engineering is an indispensable working resource for electrical engineers, especially those working in the information and communication technology (ICT) industry. It is also an ideal text for engineering students at large, applied mathematics post-graduates and advanced undergraduates in electrical engineering, applied statistics, and pure mathematics, studying statistical signal processing.