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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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Mobile Crowdsensing

Mobile crowdsensing is a technology that allows large scale, cost-effective sensing of the physical world. In mobile crowdsensing, mobile;

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Mobile Crowdsensing

Mobile crowdsensing is a technology that allows large scale, cost-effective sensing of the physical world. In mobile crowdsensing, mobile;

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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 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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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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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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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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Medical Image Compression Using Compressive Sensing

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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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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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Mobility Data Driven Urban Traffic Monitoring

traffic monitoring approaches. First, to attack the challenge of mobility data sparsity, the authors propose a compressive sensing-based urban;

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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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Generic and Energy-Efficient Context-Aware Mobile Sensing

mobile sensing. Generic and Energy-Efficient Context-Aware Mobile Sensing proposes novel context-inferring algorithms and generic framework;

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Sensing Techniques for Next Generation Cognitive Radio Networks

resource efficiency. As a result, new cognitive radio technologies have been proposed as an effective solution. Sensing Techniques for Next;

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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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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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Mobile Robots

control strategies This fully updated edition examines the use of mobile robots for sensing objects of interest, and focus primarily on;

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Signal and Image Processing for Remote Sensing

Continuing in the footsteps of the pioneering first edition, Signal and Image Processing for Remote Sensing, Second Edition explores the;

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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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Integrating Psychoinformatics with Ubiquitous Social Networking

This book deepens the understanding of people through smartphone data obtained via mobile sensing and applies psychological insights for;

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Integrating Psychoinformatics with Ubiquitous Social Networking

This book deepens the understanding of people through smartphone data obtained via mobile sensing and applies psychological insights for;

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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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