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. After extensive development of basic theory, many techniques are presented, such as non-asymptotic analysis of random matrices, adaptive detection, greedy algorithms, and the use of graphical models. The book can be used as a comprehensive manual for teaching and research in courses covering advanced signal processing, efficient data processing algorithms, and telecommunications. After a thorough review of the basic theory of compressed sensing, many mathematical techniques are presented, including advanced signal modeling, Nyquist sub-sampling of analog signals, the non-asymptotic analysis of random matrices, adaptive detection, greedy algorithms, and the use of graphical models. Offers extensive development of basic theory behind telecommunications and wireless networks Contains broad coverage of treat compressed sensing, including electromagnetism signals Provides insights into the two key areas of telecommunications, WIFI and LIFI Includes information on advanced signal modeling, Nyquist sub-sampling of analog signals, the non-asymptotic analysis of random matrices, adaptive detection, greedy algorithms, and more

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  • Author : Malek Benslama
  • Publisher : Elsevier
  • Pages : 284 pages
  • ISBN : 0081019688
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKCompressed Sensing in Li Fi and Wi Fi Networks

Compressed Sensing in Li-Fi and Wi-Fi Networks

Compressed Sensing in Li-Fi and Wi-Fi Networks
  • Author : Malek Benslama,Hatem Mokhtari
  • Publisher : Elsevier
  • Release : 20 November 2017
GET THIS BOOKCompressed 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. After extensive development of basic theory, many techniques are presented, such as non-asymptotic analysis of random matrices, adaptive detection, greedy algorithms, and the use of graphical models. The book can be used as a comprehensive manual for teaching and research in courses covering advanced signal processing, efficient data processing algorithms, and telecommunications. After a thorough review of the basic theory of compressed

Compressive Sensing for Wireless Networks

Compressive Sensing for Wireless Networks
  • Author : Zhu Han,Husheng Li,Wotao Yin
  • Publisher : Cambridge University Press
  • Release : 06 June 2013
GET THIS BOOKCompressive 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 in the traditional Nyquist approach. It helps acquire, store, fuse and process large data sets efficiently and accurately. This method, which links data acquisition, compression, dimensionality reduction and optimization, has attracted significant attention from researchers and engineers in various areas. This comprehensive reference develops a unified view on how to incorporate efficiently the idea of compressive sensing over

Compressive Sensing for Wireless Networks

Compressive Sensing for Wireless Networks
  • Author : Zhu Han,Husheng Li,Wotao Yin
  • Publisher : Cambridge University Press
  • Release : 06 June 2013
GET THIS BOOKCompressive 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 in the traditional Nyquist approach. It helps acquire, store, fuse and process large data sets efficiently and accurately. This method, which links data acquisition, compression, dimensionality reduction and optimization, has attracted significant attention from researchers and engineers in various areas. This comprehensive reference develops a unified view on how to incorporate efficiently the idea of compressive sensing over

Communications and Networking

Communications and Networking
  • Author : Honghao Gao,Zhiyong Feng,Jun Yu,Jun Wu
  • Publisher : Springer Nature
  • Release : 26 February 2020
GET THIS BOOKCommunications and Networking

This two volume set constitutes the refereed proceedings of the 14th EAI International Conference on Communications and Networking, ChinaCom 2019, held in November/December 2019 in Shanghai, China. The 81 papers presented were carefully selected from 162 submissions. The papers are organized in topical sections on Internet of Things (IoT), antenna, microwave and cellular communication, wireless communications and networking, network and information security, communication QoS, reliability and modeling, pattern recognition and image signal processing, and information processing.

Compressed Sensing

Compressed Sensing
  • Author : Yonina C. Eldar,Gitta Kutyniok
  • Publisher : Cambridge University Press
  • Release : 17 May 2012
GET THIS BOOKCompressed Sensing

Compressed sensing is an exciting, rapidly growing field, attracting considerable attention in electrical engineering, applied mathematics, statistics and computer science. This book provides the first detailed introduction to the subject, highlighting recent theoretical advances and a range of applications, as well as outlining numerous remaining research challenges. After a thorough review of the basic theory, many cutting-edge techniques are presented, including advanced signal modeling, sub-Nyquist sampling of analog signals, non-asymptotic analysis of random matrices, adaptive sensing, greedy algorithms and use

An Introduction to Compressed Sensing

An Introduction to Compressed Sensing
  • Author : M. Vidyasagar
  • Publisher : SIAM
  • Release : 03 December 2019
GET THIS BOOKAn Introduction to Compressed Sensing

Compressed sensing is a relatively recent area of research that refers to the recovery of high-dimensional but low-complexity objects from a limited number of measurements. The topic has applications to signal/image processing and computer algorithms, and it draws from a variety of mathematical techniques such as graph theory, probability theory, linear algebra, and optimization. The author presents significant concepts never before discussed as well as new advances in the theory, providing an in-depth initiation to the field of compressed

Short-range Wireless Communication

Short-range Wireless Communication
  • Author : Alan Bensky
  • Publisher : Elsevier
  • Release : 05 March 2004
GET THIS BOOKShort-range Wireless Communication

The Complete “Tool Kit for the Hottest Area in RF/Wireless Design! Short-range wireless—communications over distances of less than 100 meters—is the most rapidly growing segment of RF/wireless engineering. Alan Bensky is an internationally recognized expert in short-range wireless, and this new edition of his bestselling book is completely revised to cover the latest developments in this fast moving field. You’ll find coverage of such cutting-edge topics as: • architectural trends in RF/wireless integrated circuits • compatibility and

Electronics, Communications and Networks IV

Electronics, Communications and Networks IV
  • Author : Amir Hussain,Mirjana Ivanovic
  • Publisher : CRC Press
  • Release : 01 July 2015
GET THIS BOOKElectronics, Communications and Networks IV

The 4th International Conference on Electronic, Communications and Networks (CECNet2014) inherits the fruitfulness of the past three conferences and lays a foundation for the forthcoming next year in Shanghai. CECNet2014 was hosted by Hubei University of Science and Technology, China, with the main objective of providing a comprehensive global foru

A Mathematical Introduction to Compressive Sensing

A Mathematical Introduction to Compressive Sensing
  • Author : Simon Foucart,Holger Rauhut
  • Publisher : Springer Science & Business Media
  • Release : 13 August 2013
GET THIS BOOKA Mathematical Introduction to Compressive Sensing

At the intersection of mathematics, engineering, and computer science sits the thriving field of compressive sensing. Based on the premise that data acquisition and compression can be performed simultaneously, compressive sensing finds applications in imaging, signal processing, and many other domains. In the areas of applied mathematics, electrical engineering, and theoretical computer science, an explosion of research activity has already followed the theoretical results that highlighted the efficiency of the basic principles. The elegant ideas behind these principles are also

Wireless Sensor Networks

Wireless Sensor Networks
  • Author : Kazem Sohraby,Daniel Minoli,Taieb Znati
  • Publisher : John Wiley & Sons
  • Release : 06 April 2007
GET THIS BOOKWireless Sensor Networks

Infrastructure for Homeland Security Environments Wireless Sensor Networks helps readers discover the emerging field of low-cost standards-based sensors that promise a high order of spatial and temporal resolution and accuracy in an ever-increasing universe of applications. It shares the latest advances in science and engineering paving the way towards a large plethora of new applications in such areas as infrastructure protection and security, healthcare, energy, food safety, RFID, ZigBee, and processing. Unlike other books on wireless sensor networks that focus

The Sparse Fourier Transform

The Sparse Fourier Transform
  • Author : Haitham Hassanieh
  • Publisher : Morgan & Claypool
  • Release : 27 February 2018
GET THIS BOOKThe Sparse Fourier Transform

The Fourier transform is one of the most fundamental tools for computing the frequency representation of signals. It plays a central role in signal processing, communications, audio and video compression, medical imaging, genomics, astronomy, as well as many other areas. Because of its widespread use, fast algorithms for computing the Fourier transform can benefit a large number of applications. The fastest algorithm for computing the Fourier transform is the Fast Fourier Transform (FFT), which runs in near-linear time making it