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Compressive Sensing Based Algorithms for Electronic Defence

This book details some of the major developments in the implementation of compressive sensing in radio applications for electronic defense;

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Hybrid and Advanced Compression Techniques for Medical Images

compression and compressive sensing (CS) theory based approaches that are designed and implemented using various image transforms, such as: Discrete;

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Compressive Sensing in Healthcare

Compressive Sensing in Healthcare, part of the Advances in Ubiquitous Sensing Applications for Healthcare series gives a review on;

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Compressive Sensing for Urban Radar

. Compressive Sensing for Urban Radar is the first book to focus on a hybrid of two key areas: compressive sensing and urban sensing. It explains how;

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Compressive Sensing for Urban Radar

. Compressive Sensing for Urban Radar is the first book to focus on a hybrid of two key areas: compressive sensing and urban sensing. It explains how;

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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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Compressive Sensing For Wireless Networks

Compressive sensing is a new signal processing paradigm that aims to encode sparse signals by using far lower sampling rates than those;

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Optical Compressive Imaging

This dedicated overview of optical compressive imaging addresses implementation aspects of the revolutionary theory of compressive sensing;

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Optical Compressive Imaging

This dedicated overview of optical compressive imaging addresses implementation aspects of the revolutionary theory of compressive sensing;

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Computational Methods for Electromagnetic Inverse Scattering

A comprehensive and updated overview of the theory, algorithms and applications of for electromagnetic inverse scattering problems;

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Compressive Sensing for the Photonic Mixer Device

Miguel Heredia Conde aims at finding novel ways to fit the valuable mathematical results of the Compressive Sensing (CS) theory to the;

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Machine Learning and Visual Perception

learning, support vector machines, AdaBoost, compressive sensing and so on.Both classic and novel algorithms are introduced in classifier design;

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Medical Image Compression Using Compressive Sensing

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Condition Monitoring with Vibration Signals

frameworks based on compressive sampling, subspace learning techniques for machine condition monitoring, and much more. Covers the;

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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 in Radar Signal Processing

sensing. Providing a broad perspective that fully demonstrates the impact of these tools, the accessible and tutorial-like chapters cover topics;

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Motion Deblurring

compressive sensing for video recovery. A valuable resource for researchers and practitioners in computer vision, image processing, and related fields.;

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When Compressive Sensing Meets Mobile Crowdsensing

This book provides a comprehensive introduction to applying compressive sensing to improve data quality in the context of mobile;

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When Compressive Sensing Meets Mobile Crowdsensing

This book provides a comprehensive introduction to applying compressive sensing to improve data quality in the context of mobile;

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Regularization, Optimization, Kernels, and Support Vector Machines

learning, providing a single multidisciplinary source for the latest research and advances in regularization, sparsity, compressed sensing, convex;

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Regularization, Optimization, Kernels, and Support Vector Machines

learning, providing a single multidisciplinary source for the latest research and advances in regularization, sparsity, compressed sensing, convex;

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Remote Sensing of Natural Resources

Highlighting new technologies, Remote Sensing of Natural Resources explores advanced remote sensing systems and algorithms for image;

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Remote Sensing of Natural Resources

Highlighting new technologies, Remote Sensing of Natural Resources explores advanced remote sensing systems and algorithms for image;

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Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification

This book covers the state-of-art image classification methods for discrimination of earth objects from remote sensing satellite data with;

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Quantitative Remote Sensing of Land Surfaces

basic principles of optical remote sensing as well as practical algorithms for estimating land surface variables quantitatively from remotely;

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Advances in Imaging and Sensing

, as well as a convenient reference for scientists and engineers working in the field of electronic imaging and sensing.;

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