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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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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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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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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

processing and requires a basic understanding of signal processing and linear algebra. Covers fundamental concepts of compressed sensing;

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Compressed Sensing for Engineers

processing and requires a basic understanding of signal processing and linear algebra. Covers fundamental concepts of compressed sensing;

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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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Image Understanding Using Sparse Representations

, inpainting, compressed sensing, blind source separation, super-resolution, and classification. The primary goal of this book is to present the;

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Compressive Sensing of Earth Observations

Compressive Sensing of Earth Observations provides a comprehensive and balanced coverage of the theory and applications of CS in all aspects of earth;

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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

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

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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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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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Statistical Methods for Materials Science

applications section addresses compressed sensing methods, stochastic models, extreme estimation, and approaches to pattern detection.;

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Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms

This book presents a comprehensive review of the recent developments in fast L1-norm regularization-based compressed sensing (CS) magnetic;

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Statistical Methods for Materials Science: The Data Science of Microstructure Characterization

applications section addresses compressed sensing methods, stochastic models, extreme estimation, and approaches to pattern detection.;

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Image and Video Compression

Image and video signals require large transmission bandwidth and storage, leading to high costs. The data must be compressed without a loss;

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Image and Video Compression

Image and video signals require large transmission bandwidth and storage, leading to high costs. The data must be compressed without a loss;

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Remote Sensing of Snow and Its Applications

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Terahertz Antenna Technology for Imaging and Sensing Applications

This book covers terahertz antenna technology for imaging and sensing, along with its various applications. The authors discuss the use;

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Terahertz Antenna Technology for Imaging and Sensing Applications

This book covers terahertz antenna technology for imaging and sensing, along with its various applications. The authors discuss the use;

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Compressive Sensing for Urban Radar

With the emergence of compressive sensing and sparse signal reconstruction, approaches to urban radar have shifted toward relaxed;

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Compressive Sensing for Urban Radar

With the emergence of compressive sensing and sparse signal reconstruction, approaches to urban radar have shifted toward relaxed;

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Sampling: Theory and Applications: A Centennial Celebration of Claude Shannon

influence on the field. The topics covered include both theory and applications, such as: * Compressed sensing* Non-uniform and wave sampling* A-to;

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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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Compressed Air - Practical Information Upon Air-Compression And The Transmission And Application Of Compressed Air

of compressed air, and the wide diffusion of misinfor- mation and prejudice upon this subject. In spite of it all the use of compressed air is rapidly;

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