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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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Compressed Sensing in Radar Signal Processing

such as clutter rejection, CFAR detection, adaptive beamforming, random arrays for radar, space-time adaptive processing, and MIMO radar. Each;

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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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Sparsity Based Multipath Exploitation for Through the Wall Radar Imaging

This thesis reports on sparsity-based multipath exploitation methods for through-the-wall radar imaging. Multipath creates ambiguities;

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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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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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Radar Remote Sensing of Urban Areas

One of the key milestones of radar remote sensing for civil applications was the launch of the European Remote Sensing Satellite 1 (ERS 1;

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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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Medical Image Compression Using Compressive Sensing

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Radar Remote Sensing for Crop Biophysical Parameter Estimation

This book presents a timely investigation of radar remote sensing observations for agricultural crop monitoring and advancements;

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Radar Remote Sensing for Crop Biophysical Parameter Estimation

This book presents a timely investigation of radar remote sensing observations for agricultural crop monitoring and advancements;

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Radar Automatic Target Recognition (Atr) And Non-Cooperative

from more than one perspective; the impact of compressive sensing; advances in change detection; and challenges and directions for future;

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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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Polarimetric Radar Imaging

shows how to develop remote sensing applications using PolSAR imaging radar. The authors demonstrate how to devise intelligent information;

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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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Weather Radar Polarimetry

This book presents the fundamentals of polarimetric radar remote sensing through understanding wave scattering and propagation;

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Mobility Data Driven Urban Traffic Monitoring

some practical issues of applying the models for urban traffic monitoring. This book presents three novel mobility data-driven urban;

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Remote Sensing Imagery

synthetic aperture radar, especially for urban remote sensing applications. Jordi Inglada works at the Centre National d Etudes Spatiales (French;

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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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Remote Sensing Of Sea Ice And Icebergs

describe technologies that include acoustic sensing, ice thickness and measurement, ground wave radar, and passive microwave remote sensing;

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Remote Sensing

discussed include the techniques used to investigate the surface dynamics of coastal areas using radar remote sensing; technologies to understand;

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Remote Sensing with Imaging Radar

This book is concerned with remote sensing based on the technology of imaging radar. It assumes no prior knowledge of radar on the part;

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