Compressive Sensing For Wireless Networks
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Structural Analysis Using Computational Chemistry
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Author : Norma Aurea Rangel-Vázquez
language : en
Publisher: River Publishers
Release Date : 2016-09-30
Structural Analysis Using Computational Chemistry written by Norma Aurea Rangel-Vázquez and has been published by River Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-30 with Science categories.
Computational chemistry is a science that allows researchers to study, characterize and predict the structure and stability of chemical systems. In other words: studying energy differences between different states to explain spectroscopic properties and reaction mechanisms at the atomic level. This field is gaining in relevance and strength due to field applications from chemical engineering, electrical engineering, electronics, biomedicine, biology, materials science, to name but a few. Structural Analysis using Computational Chemistry arises from the need to present the progress of computational chemistry in various application areas. Technical topics discussed in the book include: Quantum mechanics and structural molecular study (AM1)Application of quantum models in molecular analysisMolecular analysis of insulin through controlled adsorption in hydrogels based on chitosanAnalysis and molecular characterization of organic materials for application in solar cellsDetermination of thermodynamic properties of ionic liquids through molecular simulation
Compressive Sensing For Wireless Networks
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Author : Zhu Han
language : en
Publisher:
Release Date : 2013
Compressive Sensing For Wireless Networks written by Zhu Han and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Coding theory categories.
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 assorted wireless network scenarios, interweaving concepts from signal processing, optimization, information theory, communications and networking to address the issues in question from an engineering perspective. It enables students, researchers and communications engineers to develop a working knowledge of compressive sensing, including background on the basics of compressive sensing theory, an understanding of its benefits and limitations, and the skills needed to take advantage of compressive sensing in wireless networks.
Compressive Sensing For Wireless Networks
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Author : Zhu Han
language : en
Publisher: Cambridge University Press
Release Date : 2013-06-06
Compressive Sensing For Wireless Networks written by Zhu Han and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-06 with Computers categories.
This comprehensive reference delivers the understanding and skills needed to take advantage of compressive sensing in wireless networks.
Compressive Sensing For Wireless Communication
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Author : Radha Sankararajan
language : en
Publisher:
Release Date : 2024-10-21
Compressive Sensing For Wireless Communication written by Radha Sankararajan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-21 with Science categories.
Compressed Sensing (CS) is a promising method that recovers the sparse and compressible signals from severely under-sampled measurements. CS can be applied to wireless communication to enhance its capabilities. As this technology is proliferating, it is possible to explore its need and benefits for emerging applicationsCompressive Sensing for Wireless Communication provides: - A clear insight into the basics of compressed sensing- A thorough exploration of applying CS to audio, image and computer vision- Different dimensions of applying CS in Cognitive radio networks- CS in wireless sensor network for spatial compression and projection- Real world problems/projects that can be implemented and tested- Efficient methods to sample and reconstruct the images in resource constrained WMSN environmentThis book provides the details of CS and its associated applications in a thorough manner. It lays a direction for students and new engineers and prepares them for developing new tasks within the field of CS. It is an indispensable companion for practicing engineers who wish to learn about the emerging areas of interest.
Data Driven Wireless Networks
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Author : Yue Gao
language : en
Publisher: Springer
Release Date : 2018-10-19
Data Driven Wireless Networks written by Yue Gao and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-19 with Technology & Engineering categories.
This SpringerBrief discusses the applications of spare representation in wireless communications, with a particular focus on the most recent developed compressive sensing (CS) enabled approaches. With the help of sparsity property, sub-Nyquist sampling can be achieved in wideband cognitive radio networks by adopting compressive sensing, which is illustrated in this brief, and it starts with a comprehensive overview of compressive sensing principles. Subsequently, the authors present a complete framework for data-driven compressive spectrum sensing in cognitive radio networks, which guarantees robustness, low-complexity, and security. Particularly, robust compressive spectrum sensing, low-complexity compressive spectrum sensing, and secure compressive sensing based malicious user detection are proposed to address the various issues in wideband cognitive radio networks. Correspondingly, the real-world signals and data collected by experiments carried out during TV white space pilot trial enables data-driven compressive spectrum sensing. The collected data are analysed and used to verify our designs and provide significant insights on the potential of applying compressive sensing to wideband spectrum sensing. This SpringerBrief provides readers a clear picture on how to exploit the compressive sensing to process wireless signals in wideband cognitive radio networks. Students, professors, researchers, scientists, practitioners, and engineers working in the fields of compressive sensing in wireless communications will find this SpringerBrief very useful as a short reference or study guide book. Industry managers, and government research agency employees also working in the fields of compressive sensing in wireless communications will find this SpringerBrief useful as well.
Compressive Sensing For Wireless Communication
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Author : Radha Sankararajan
language : en
Publisher: CRC Press
Release Date : 2022-09-01
Compressive Sensing For Wireless Communication written by Radha Sankararajan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-01 with Science categories.
Compressed Sensing (CS) is a promising method that recovers the sparse and compressible signals from severely under-sampled measurements. CS can be applied to wireless communication to enhance its capabilities. As this technology is proliferating, it is possible to explore its need and benefits for emerging applicationsCompressive Sensing for Wireless Communication provides:• A clear insight into the basics of compressed sensing• A thorough exploration of applying CS to audio, image and computer vision• Different dimensions of applying CS in Cognitive radio networks• CS in wireless sensor network for spatial compression and projection• Real world problems/projects that can be implemented and tested• Efficient methods to sample and reconstruct the images in resource constrained WMSN environmentThis book provides the details of CS and its associated applications in a thorough manner. It lays a direction for students and new engineers and prepares them for developing new tasks within the field of CS. It is an indispensable companion for practicing engineers who wish to learn about the emerging areas of interest.
Compressed Sensing With Applications In Wireless Networks
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Author : Markus Leinonen
language : en
Publisher:
Release Date : 2019-11-29
Compressed Sensing With Applications In Wireless Networks written by Markus Leinonen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-29 with Technology & Engineering categories.
This monograph reviews several recent compressed sensing advancements in wireless networks with an aim to improve the quality of signal reconstruction or detection while reducing the use of energy, radio, and computation resources.
Wireless Networks Characteristics And Applications
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Author : MDPI
language : en
Publisher: MDPI
Release Date : 2019-10-18
Wireless Networks Characteristics And Applications written by MDPI and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-18 with Computers categories.
Wireless technology has become extremely important for human life and nearly everyone carries at least one cell/mobile phone. Voice communication affects our daily lives and we are influenced by day-to-day routine. Wireless systems are being explored for numerous applications in addition to their current communication function. One can only imagine the possible innovations from an area is expanding at an unprecedented rate and offers significant future potentials. This volume is a carefully selected collection of papers that characterizes the technology and establishes its use.
Compressed Sensing In Li Fi And Wi Fi Networks
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Author : Malek Benslama
language : en
Publisher: Elsevier
Release Date : 2017-11-20
Compressed Sensing In Li Fi And Wi Fi Networks written by Malek Benslama and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-20 with Technology & Engineering categories.
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
Managing Resources For Futuristic Wireless Networks
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Author : Rath, Mamata
language : en
Publisher: IGI Global
Release Date : 2020-09-25
Managing Resources For Futuristic Wireless Networks written by Rath, Mamata and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-25 with Computers categories.
The key parameter that needs to be considered when planning the management of resources in futuristic wireless networks is a balanced approach to resource distribution. A balanced approach is necessary to provide an unbiased working environment for the distribution, sharing, allocation, and supply of resources among the devices of the wireless network. Equal resource distribution also maintains balance and stability between the operations of communication systems and thus improves the performance of wireless networks. Managing Resources for Futuristic Wireless Networks is a pivotal reference source that presents research related to the control and management of key parameters of bandwidth, spectrum sensing, channel selection, resource sharing, and task scheduling, which is necessary to ensure the efficient operation of wireless networks. Featuring topics that include vehicular ad-hoc networks, resource management, and the internet of things, this publication is ideal for professionals and researchers working in the field of networking, information and knowledge management, and communication sciences. Moreover, the book will provide insights and support executives concerned with the management of expertise, knowledge, information, and organizational development in different types of work communities and environments.