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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 for Wireless Communication

need and benefits for emerging applicationsCompressive Sensing for Wireless Communication provides:* A clear insight into the basics;

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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 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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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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Backscattering and RF Sensing for Future Wireless Communication

Backscattering and RF Sensing for Future Wireless Communication Discover what lies ahead in wireless communication networks with this;

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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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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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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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Advanced Wireless Sensing Techniques for 5G Networks

This book written for students of electronics and communication, students of computer science and communications engineers addresses topics;

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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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Communication, Signal Processing & Information Technology

, Optical Communication, Wireless Sensor Networks, MIMO Systems, MIMO Communications, Signal Processing for Communications e-Learning. Digital;

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Batteryless mm-Wave Wireless Sensors

system in which the wireless sensors consist of wireless power receiving, sensing and communication functions in a single chip, without external;

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6G: The Next Horizon

, use cases, KPIs, and the technology innovations that will shape it. These innovations include immersive human-centric communication, sensing;

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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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Smart Wireless Sensing

, Bluetooth, ZigBee, and television signals for smart wireless sensing, eliminating the need for dedicated sensors and promoting the prospect of the;

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Cognitive Radio

architecture, linear predictive coding, variance fractal compression, optimal Codec design for mobile communication system, digital modulation;

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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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Signals in the Soil

underground communications and soil sensing in Internet of Underground Things (IOUT). The book covers both existing network technologies and those;

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Signals in the Soil

underground communications and soil sensing in Internet of Underground Things (IOUT). The book covers both existing network technologies and those;

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Communication, Control and Security Challenges for the Smart Grid

; smart grid communications and standards; measurement and sensing devices for smart grids; smart transmission and wide area monitoring system;

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Advances in Visual Data Compression and Communication

theoretical and technical basis for advanced research on visual data compression and communication. The book studies the drifting problem;

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