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Compressed Sensing for Distributed Systems

This book presents a survey of the state-of-the art in the exciting and timely topic of compressed sensing for distributed systems. It has;

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Compressed Sensing and its Applications

that focus on applications of compressed sensing. Article authors address their techniques for solving the problems of compressed sensing, as;

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Distributed Source Coding

sensing for distributed compression of sparse signals. Extensive applications are presented and include distributed video coding, microphone;

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Distributed Sensing and Intelligent Systems

This book is the proceeding of the 1st International Conference on Distributed Sensing and Intelligent Systems (ICDSIS2020) which will be;

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Distributed Control and Filtering for Industrial Systems

effective, low power, thumb-size devices that can be used for sensing/actuating, communication and computing. This trend is enabling a surge of new;

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Compressed Sensing in Li-Fi and Wi-Fi Networks

Compressed Sensing in Li-Fi and Wi-Fi Networks features coverage of the first applications in optical telecommunications and wireless;

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Compressed Sensing for Engineers

Compressed Sensing (CS) in theory deals with the problem of recovering a sparse signal from an under-determined system of linear equations;

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Compressed Sensing for Engineers

Compressed Sensing (CS) in theory deals with the problem of recovering a sparse signal from an under-determined system of linear equations;

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Reconstruction-Free Compressive Vision for Surveillance Applications

Compressed sensing (CS) allows signals and images to be reliably inferred from undersampled measurements. Exploiting CS allows the;

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Reconstruction-Free Compressive Vision for Surveillance Applications

Compressed sensing (CS) allows signals and images to be reliably inferred from undersampled measurements. Exploiting CS allows the;

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Compressed Sensing und Sparse Rekonstruktion bei Magnetic Particle Imaging

erstellt, indem die Systemantwort auf eine Punktprobe in jedem Voxel gemessen wird. Die Theorie des Compressed Sensing besagt, dass ein Signal;

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Distributed Acoustic Sensing in Geophysics - Methods and Applications

A comprehensive handbook on state-of-the-art DAS technology and applications Distributed Acoustic Sensing (DAS) is a technology that;

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Compressive Sensing for Wireless Communication

Compressed Sensing (CS) is a promising method that recovers the sparse and compressible signals from severely under-sampled measurements;

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Guide to Energy Management

, compressed air, renewable energy sources and water management, distributed generation, and creating green buildings.;

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Compressed Sensing in Radar Signal Processing

highlights the potential benefits of using compressed sensing algorithms. A unified notation and numerous cross-references between chapters make it;

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Regional Analysis of Time Fractional Diffusion Processes

coverage of fractional calculus, functional analysis, distributed parameter systems and relevant basic control theory. New research problems are;

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Cognitive Networked Sensing and Big Data

Wireless Distributed Computing and Cognitive Sensing defines high-dimensional data processing in the context of wireless distributed;

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Intelligent Building Control Systems

in building automation, advanced sensing and control, including: model-based and model-free control design for temperature control; smart lighting;

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Compressive Sensing of Earth Observations

Future remote sensing systems will make extensive use of Compressive Sensing (CS) as it becomes more integrated into the system design with;

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Compressed Sensing

Compressed sensing is an exciting, rapidly growing field, attracting considerable attention in electrical engineering, applied mathematics;

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Cloud Computing in Remote Sensing

remote sensing data integration across distributed data centers Covers cloud storage based remote sensing data share service Covers high;

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Advances and Open Problems in Federated Learning

, fairness, compressed sensing, systems, information theory, statistics, and more. This monograph has contributions from leading experts across the;

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Fundamentals of Brooks Iyengar Distributed Sensing Algorithm

This book provides a comprehensive analysis of Brooks-Iyengar Distributed Sensing Algorithm, which brings together the power of Byzantine;

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Fundamentals of Brooks-Iyengar Distributed Sensing Algorithm

This book provides a comprehensive analysis of Brooks-Iyengar Distributed Sensing Algorithm, which brings together the power of Byzantine;

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Compressed Sensing for MRI

This work explores and extends the concept of applying compressed sensing to MRI. Asuccessful CS reconstruction requires incoherent;

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Advanced Wireless Sensing Techniques for 5G Networks

such as Introduction of CRN, Advanced spectrum sensing techniques, Cooperative sensing techniques, Distributed sensing techniques, Issues;

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Remote Sensing and Actuation Using Unmanned Vehicles

with essential information on how to design and employ networked unmanned vehicles for remote sensing and distributed control purposes. Target;

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