June 16, 2021

Download Ebook Free Cooperative And Graph Signal Processing

Cooperative and Graph Signal Processing

Cooperative and Graph Signal Processing
Author : Petar Djuric,Cédric Richard
Publisher : Academic Press
Release Date : 2018-07-04
Category : Computers
Total pages :866
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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

Vertex-Frequency Analysis of Graph Signals

Vertex-Frequency Analysis of Graph Signals
Author : Ljubiša Stanković,Ervin Sejdić
Publisher : Springer
Release Date : 2018-12-01
Category : Technology & Engineering
Total pages :507
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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.

Cooperative Multiplexing in Wireless Relay Networks

Cooperative Multiplexing in Wireless Relay Networks
Author : Vinayak Nagpal
Publisher : Unknown
Release Date : 2012
Category :
Total pages :238
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Wireless networks are experiencing an explosive growth in the number of users and the demand for data capacity. One of the methods to improve capacity is to use tighter cooperation between terminals. In order to design a cooperative wireless link, several theoretical as well as practical challenges need to be addressed. In this dissertation we develop tools for the design of practical cooperative links that perform very close to fundamental limits. Using the tools of information theory, we begin by showing that cooperative relaying provides additional degrees-of-freedom for communication. For a simple network with a single-antenna source, single-antenna half-duplex relay and a two antenna destination, we show that cooperation allows the link throughput to increase approximately by a factor of 2. This gain is achievable using the recently introduced quantize-map-and-forward (QMF) cooperation scheme. However, QMF requires joint decoding of multiple information streams at the destination. The computational complexity of joint decoding is prohibitive for practical implementation. We address this problem by developing a low-complexity practical coding and system design framework for QMF relaying. The framework presents several pragmatic design choices to achieve cooperative degree-of-freedom gains in practice. The framework uses a combination of LDPC and LDGM codes decoded jointly over a low complexity factor graph. Signal processing requirements at all terminals are shown to have linear time complexity. Density evolution tools are developed for the design of specialized linear codes and mapping functions. Based on these tools, we demonstrate the design of cooperative links that perform within 0.5-1.0dB of information-theoretic limits.

Scalable Signal Processing in Cloud Radio Access Networks

Scalable Signal Processing in Cloud Radio Access Networks
Author : Ying-Jun Angela Zhang,Congmin Fan,Xiaojun Yuan
Publisher : Springer
Release Date : 2019-04-23
Category : Technology & Engineering
Total pages :100
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This Springerbreif introduces a threshold-based channel sparsification approach, and then, the sparsity is exploited for scalable channel training. Last but not least, this brief introduces two scalable cooperative signal detection algorithms in C-RANs. The authors wish to spur new research activities in the following important question: how to leverage the revolutionary architecture of C-RAN to attain unprecedented system capacity at an affordable cost and complexity. Cloud radio access network (C-RAN) is a novel mobile network architecture that has a lot of significance in future wireless networks like 5G. the high density of remote radio heads in C-RANs leads to severe scalability issues in terms of computational and implementation complexities. This Springerbrief undertakes a comprehensive study on scalable signal processing for C-RANs, where ‘scalable’ means that the computational and implementation complexities do not grow rapidly with the network size. This Springerbrief will be target researchers and professionals working in the Cloud Radio Access Network (C-Ran) field, as well as advanced-level students studying electrical engineering.

Cooperative Assumption-based Reasoning for Comprehensive Test Ban Treaty Verification

Cooperative Assumption-based Reasoning for Comprehensive Test Ban Treaty Verification
Author : Cindy Lea Mason
Publisher : Unknown
Release Date : 1991
Category :
Total pages :352
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Distributed Cooperative Control

Distributed Cooperative Control
Author : Yi Guo
Publisher : John Wiley & Sons
Release Date : 2017-04-03
Category : Science
Total pages :240
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7.3 Plume Front Estimation and Tracking by Single Robot -- 7.3.1 State Equation of the Plume Front Dynamics -- 7.3.2 Measurement Equation and Observer Design -- 7.3.3 Estimation-Based Tracking Control -- 7.3.4 Convergence Analysis -- 7.4 Multirobot Cooperative Tracking of Plume Front -- 7.4.1 Boundary Robots -- 7.4.2 Follower Robots -- 7.4.3 Convergence Analysis -- 7.5 Simulations -- 7.5.1 Simulation Environment -- 7.5.2 Single-Robot Plume Front Tracking -- 7.5.3 Multirobot Cooperative Plume Front Tracking -- 7.6 Conclusion -- Notes -- References -- Part III Distributed Cooperative Control for Multiagent Physics Systems -- Chapter 8 Friction Control of Nano-particle Array -- 8.1 Introduction -- 8.2 The Frenkel-KontorovaModel -- 8.3 Open-Loop Stability Analysis -- 8.3.1 Linear Particle Interactions -- 8.3.2 Nonlinear Particle Interactions -- 8.4 Control Problem Formulation -- 8.5 Tracking Control Design -- 8.5.1 Tracking Control of the Average System -- 8.5.2 Stability of Single Particles in the Closed-Loop System -- 8.6 Simulation Results -- 8.7 Conclusion -- Notes -- References -- Chapter 9 Synchronizing Coupled Semiconductor Lasers -- 9.1 Introduction -- 9.2 The Model of Coupled Semiconductor Lasers -- 9.3 Stability Properties of Decoupled Semiconductor Laser -- 9.4 Synchronization of Coupled Semiconductor Lasers -- 9.5 Simulation Examples -- 9.6 Conclusion -- Notes -- References -- Appendix A Notation and Symbols -- Appendix B Kronecker Product and Properties -- Appendix C Quantization Schemes -- References -- Appendix D Finite L2 Gain -- References -- Appendix E Radio Signal Propagation Model -- References -- Index -- Supplemental Images

Cooperative Localization and Navigation

Cooperative Localization and Navigation
Author : Chao Gao,Guorong Zhao,Hassen Fourati
Publisher : CRC Press
Release Date : 2019-08-21
Category : Technology & Engineering
Total pages :636
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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.

Report - National Cooperative Highway Research Program

Report - National Cooperative Highway Research Program
Author : Anonim
Publisher : Unknown
Release Date : 1964
Category : Highway research
Total pages :209
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Proceedings of the Sixth International Conference on Computer Supported Cooperative Work in Design

Proceedings of the Sixth International Conference on Computer Supported Cooperative Work in Design
Author : Institute of Electrical and Electronics Engineers. Canadian Region,Shen Weiming,National Research Council Canada,University of Waterloo,University of Western Ontario
Publisher : Unknown
Release Date : 2001
Category : Design, Industrial
Total pages :583
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Computer-supported co-operative work (CSCW) is a research area that aims at integrating the works of several people involved in a common goal, inside a co-operative universe, through the sharing of resources in an efficient way. This report contains the papers presented at a conference on CSCW in design. Topics covered include: techniques, methods, and tools for CSCW in design; social organization of the CSCW process; integration of methods & tools within the work organization; co-operation in virtual enterprises and electronic businesses; CSCW in design & manufacturing; interaction between the CSCW approach and knowledge reuse as found in knowledge management; intelligent agent & multi-agent systems; Internet/World Wide Web and CSCW in design; and applications & test beds.

Image and Signal Processing for Remote Sensing

Image and Signal Processing for Remote Sensing
Author : Anonim
Publisher : Unknown
Release Date : 1995
Category : Image processing
Total pages :129
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Cooperative Cognitive Radio Networks

Cooperative Cognitive Radio Networks
Author : Mohamed Ibnkahla
Publisher : CRC Press
Release Date : 2018-09-03
Category : Computers
Total pages :349
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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.

ICASSP 90: Multidimensional signal processing

ICASSP 90: Multidimensional signal processing
Author : Anonim
Publisher : Unknown
Release Date : 1990
Category : Electro-acoustics
Total pages :2970
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Wireless Sensor Networks

Wireless Sensor Networks
Author : Ananthram Swami,Qing Zhao,Yao-Win Hong,Lang Tong
Publisher : John Wiley & Sons
Release Date : 2007-10-24
Category : Technology & Engineering
Total pages :416
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A wireless sensor network (WSN) uses a number of autonomous devices to cooperatively monitor physical or environmental conditions via a wireless network. Since its military beginnings as a means of battlefield surveillance, practical use of this technology has extended to a range of civilian applications including environmental monitoring, natural disaster prediction and relief, health monitoring and fire detection. Technological advancements, coupled with lowering costs, suggest that wireless sensor networks will have a significant impact on 21st century life. The design of wireless sensor networks requires consideration for several disciplines such as distributed signal processing, communications and cross-layer design. Wireless Sensor Networks: Signal Processing and Communications focuses on the theoretical aspects of wireless sensor networks and offers readers signal processing and communication perspectives on the design of large-scale networks. It explains state-of-the-art design theories and techniques to readers and places emphasis on the fundamental properties of large-scale sensor networks. Wireless Sensor Networks: Signal Processing and Communications : Approaches WSNs from a new angle – distributed signal processing, communication algorithms and novel cross-layer design paradigms. Applies ideas and illustrations from classical theory to an emerging field of WSN applications. Presents important analytical tools for use in the design of application-specific WSNs. Wireless Sensor Networks will be of use to signal processing and communications researchers and practitioners in applying classical theory to network design. It identifies research directions for senior undergraduate and graduate students and offers a rich bibliography for further reading and investigation.

Adaptive Learning Methods for Nonlinear System Modeling

Adaptive Learning Methods for Nonlinear System Modeling
Author : Danilo Comminiello,Jose C. Principe
Publisher : Butterworth-Heinemann
Release Date : 2018-06-11
Category : Technology & Engineering
Total pages :388
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Adaptive Learning Methods for Nonlinear System Modeling presents some of the recent advances on adaptive algorithms and machine learning methods designed for nonlinear system modeling and identification. Real-life problems always entail a certain degree of nonlinearity, which makes linear models a non-optimal choice. This book mainly focuses on those methodologies for nonlinear modeling that involve any adaptive learning approaches to process data coming from an unknown nonlinear system. By learning from available data, such methods aim at estimating the nonlinearity introduced by the unknown system. In particular, the methods presented in this book are based on online learning approaches, which process the data example-by-example and allow to model even complex nonlinearities, e.g., showing time-varying and dynamic behaviors. Possible fields of applications of such algorithms includes distributed sensor networks, wireless communications, channel identification, predictive maintenance, wind prediction, network security, vehicular networks, active noise control, information forensics and security, tracking control in mobile robots, power systems, and nonlinear modeling in big data, among many others. This book serves as a crucial resource for researchers, PhD and post-graduate students working in the areas of machine learning, signal processing, adaptive filtering, nonlinear control, system identification, cooperative systems, computational intelligence. This book may be also of interest to the industry market and practitioners working with a wide variety of nonlinear systems. Presents the key trends and future perspectives in the field of nonlinear signal processing and adaptive learning. Introduces novel solutions and improvements over the state-of-the-art methods in the very exciting area of online and adaptive nonlinear identification. Helps readers understand important methods that are effective in nonlinear system modelling, suggesting the right methodology to address particular issues.

Co-operative Coded Communication Under Network Constraints

Co-operative Coded Communication Under Network Constraints
Author : Kiran Mukesh Misra
Publisher : Unknown
Release Date : 2010
Category : Computer networks
Total pages :252
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