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Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General
This reference book is designed to be used as a manual to assist in the solving of design problems. The book describes how to use information gathered and presents design data for reference. Large graphs with grid lines make it easier to extract data for specific designs.
This is the first point of reference for the communications industries. It offers an introduction to a wide range of topics and concepts encountered in the field of communications technology. Whether you are looking for a simple explanation, or need to go into a subject in more depth, the Communications Technology Handbook provides all the information you need in one single volume. This second edition has been updated to include the latest technology including: Video on Demand Wire-less Distribution systems High speed data transmission over telephone lines Smart cards and batteries Global positioning Systems The contents are ordered initially by communications systems. This is followed by an introduction to each topic and goes on to provide more detailed information in alphabetical order. Every section contains an explanation of common terminology, and further references are provided. This approach offers flexible access to information for a variety of readers. Those who know little about communications professionals, the book constitutes a handy reference source and a way of finding out about related technologies. The book addresses an international audience by referring to all systems and standards throughout. This book has been revised to include new sections on: * Video on demand * Wire-less distribution systems * High speed data transmission over telephone lines * Smart cards * Global positioning systems
Written by leading experts in the field, this book is a research monograph on Fresnel zone antennas. Readers will find a wealth of novel antenna configurations, first-hand experimental results, and a large number of equations.
This book is based on the Telecommunications Policy Research
Conference which reports on research into telecommunications policy
issues. While the conference is now a respectable 23 years old,
this is only the second printed edition of selected papers. A new
law, the Telecommunications Act of 1996, accelerated the process of
integration in the communication industry and made major revisions
to the Communications Act of 1934 that increase the incentive for
integration within the industry. Although the papers in this volume
were written prior to the passage of the new law, their importance
is merely enhanced by it. They deal with fundamental, complex
policy problems that arise when previously separate segments of the
telecommunications industry are integrated, rather than specific
regulatory rules that are likely to be changed under the new law.
With the passage of this law, the timeframe for developing
appropriate policies for an integrated industry has been shortened.
Changes expected to occur over a period of several years will now
likely occur much more rapidly. These papers provide insights to
help guide the transition in the industry.
Machine Learning Algorithms for Signal and Image Processing Enables readers to understand the fundamental concepts of machine and deep learning techniques with interactive, real-life applications within signal and image processing Machine Learning Algorithms for Signal and Image Processing aids the reader in designing and developing real-world applications using advances in machine learning to aid and enhance speech signal processing, image processing, computer vision, biomedical signal processing, adaptive filtering, and text processing. It includes signal processing techniques applied for pre-processing, feature extraction, source separation, or data decompositions to achieve machine learning tasks. Written by well-qualified authors and contributed to by a team of experts within the field, the work covers a wide range of important topics, such as: Speech recognition, image reconstruction, object classification and detection, and text processing Healthcare monitoring, biomedical systems, and green energy How various machine and deep learning techniques can improve accuracy, precision rate recall rate, and processing time Real applications and examples, including smart sign language recognition, fake news detection in social media, structural damage prediction, and epileptic seizure detection Professionals within the field of signal and image processing seeking to adapt their work further will find immense value in this easy-to-understand yet extremely comprehensive reference work. It is also a worthy resource for students and researchers in related fields who are looking to thoroughly understand the historical and recent developments that have been made in the field.
This book is proceedings of the 7th FTRA International Conference on Future Information Technology (FutureTech 2012). The topics of FutureTech 2012 cover the current hot topics satisfying the world-wide ever-changing needs. The FutureTech 2012 is intended to foster the dissemination of state-of-the-art research in all future IT areas, including their models, services, and novel applications associated with their utilization. The FutureTech 2012 will provide an opportunity for academic and industry professionals to discuss the latest issues and progress in this area. In addition, the conference will publish high quality papers which are closely related to the various theories, modeling, and practical applications in many types of future technology. The main scope of FutureTech 2012 is as follows. Hybrid Information Technology Cloud and Cluster Computing Ubiquitous Networks and Wireless Communications Multimedia Convergence Intelligent and Pervasive Applications Security and Trust Computing IT Management and Service Bioinformatics and Bio-Inspired Computing Database and Data Mining Knowledge System and Intelligent Agent Human-centric Computing and Social Networks The FutureTech is a major forum for scientists, engineers, and practitioners throughout the world to present the latest research, results, ideas, developments and applications in all areas of future technologies.
This book outlines the promise of the field of the Cognitive Internet of Things when it is applied to cognitive buildings. After an introduction, the authors discuss the goals of cognitive buildings such as operation in a more efficient, flexible, interactive, intuitive, and sustainable way. They go on to outline the benefits that these technologies promise to building owners, occupants, and their environments that range from reducing energy consumption and carbon footprint to promoting health, well-being, and productivity. The authors outline technologies that provide buildings and equipment with the ability to collect, aggregate, and analyze data and how this information can be collected by sensors and related to internal conditions and settings, energy consumption, user requests, and preferences to maintain comfort and save energy. This book is of interest to practitioners, researchers, students, and professors in IoT and smart cities.
M-Commerce: Global Experiences and Perspectives focuses on the emerging growth of mobile telecommunications and mobile commerce around the world. To provide a global perspective, this book describes approaches from three major regions of the world - North America, Europe, and Asia-Pacific - and highlights several countries from each region. These countries are significant because of their large existing base of mobile telecom users, their future potential, their innovativeness in mobile telecom technology development, and their leadership in launching new mobile applications. ""M-Commerce: Global Experiences and Perspectives"" contains chapters from authors of many countries, and while each chapter examines a specific country indepth, all the chapters use a common integrative framework called the CLIP (communications, locatability, information provision, and payment processing) application-theoretical framework. These four core functions underlie various mobile telecommunications services offered world-wide. This conceptual framework facilitates a deeper understanding of the effective business strategies for m-commerce.
Substantial new breakthroughs are happening in telecommunications technology. This volume presents a state-of-the-art review of the current research activities in intelligent network technology. It contains the proceedings of a workshop on intelligent networks organized by the International Federation of Information Processsing and held as part of the Third Summer School on Telecommunications in Lappeenranta, Finland, August 1994.
This book investigates processes for the prototyping of user interfaces for mobile apps, and describes the development of new concepts and tools that can improve the prototype driven app development in the early stages. It presents the development and evaluation of a new requirements catalogue for prototyping mobile app tools that identifies the most important criteria such tools should meet at different prototype-development stages. This catalogue is not just a good point of orientation for designing new prototyping approaches, but also provides a set of metrics for a comparing the performance of alternative prototyping tools. In addition, the book discusses the development of Blended Prototyping, a new approach for prototyping user interfaces for mobile applications in the early and middle development stages, and presents the results of an evaluation of its performance, showing that it provides a tool for teamwork-oriented, creative prototyping of mobile apps in the early design stages.
This book offers an intuitive approach to random processes and educates the reader on how to interpret and predict their behavior. Premised on the idea that new techniques are best introduced by specific, low-dimensional examples, the mathematical exposition is easier to comprehend and more enjoyable, and it motivates the subsequent generalizations. It distinguishes between the science of extracting statistical information from raw data--e.g., a time series about which nothing is known a priori--and that of analyzing specific statistical models, such as Bernoulli trials, Poisson queues, ARMA, and Markov processes. The former motivates the concepts of statistical spectral analysis (such as the Wiener-Khintchine theory), and the latter applies and interprets them in specific physical contexts. The formidable Kalman filter is introduced in a simple scalar context, where its basic strategy is transparent, and gradually extended to the full-blown iterative matrix form.
Due to the great success and enormous impact of IP networks, In ternet access (such as sending and receiving e-mails) and web brows ing have become the ruling paradigm for next generation wireless systems. On the other hand, great technological and commercial success of services and applications is being witnessed in mobile wire less communications with examples of cellular, pes voice telephony and wireless LANs. The service paradigm has thus shifted from the conventional voice service to seamlessly integrated high quality mul timedia transmission over broadband wireless mobile networks. The multimedia content may include data, voice, audio, image, video and so on. With availability of more powerful portable devices, such as PDA, portable computer and cellular phone, coupled with the easier access to the core network (using a mobile device), the number of mobile users and the demand for multimedia-based applications is increasing rapidly. As a result, there is an urgent need for a sys tem that supports heterogeneous multimedia services and provides seamless access to the desired resources via wireless connections. Therefore, the convergence of multimedia communication and wireless mobile networking technologies into the next generation wireless multimedia (WMM) networks with the vision of "anytime, anywhere, anyform" information system is the certain trend in the foreseeable future. However, successful combination of these two technologies presents many challenges such as available spectral bandwidth, energy efficiency, seamless end-to-end communication, robustness, security, etc."
The latest advances in several emerging technologies such as AI, blockchain, privacy-preserving algorithms used in localization and positioning systems, cloud computing and computer vision all have great potential in facilitating social distancing. Benefits range from supporting people to work from home to monitoring micro- and macro- movements such as contact tracing apps using Bluetooth, tracking the movement and transportation level of a city and wireless positioning systems to help people keep a safe distance by alerting them when they are too close to each other or to avoid congestion. However, implementing such technologies in practical scenarios still faces various challenges. This book aims to lay the foundations of how these technologies could be adopted to realize and facilitate social distancing to better manage pandemics and future outbreaks. Starting with basic concepts, models and practical technology-based social distancing scenarios, the authors present enabling wireless technologies and solutions which could be widely adopted to encourage social distancing. They include symptom prediction, detection and monitoring of quarantined people and contact tracing. In the future, smart infrastructures for next-generation wireless systems should incorporate a pandemic mode in their standard architecture and design.
Routing in Opportunistic Networks focuses on the basics of opportunistic networks, modeling and communication in opportunistic networks, routing in opportunistic networks, and collaboration and cooperation in opportunistic networks. The editors will cover such topics as mobility characterization and discovery in opportunistic networks, scheduling and medium access control in opportunistic networks as well as testbed, tools, and measurements for opportunistic networks.
This practical reference book is concerned mainly with the technology of digital terrestrial television broadcasting. The author describes the latest developments in digital television, the status of analog technology, and the basics of digital technology and its specifications. The operating and measurement procedure is given especially extensive treatment. Technical future scenarios are also discussed. The book thus gives a self-contained account of this topical theme which will be useful for trainee engineers as well as media experts and broadcasting professionals.
Compressed Sensing (CS) in theory deals with the problem of recovering a sparse signal from an under-determined system of linear equations. The topic is of immense practical significance since all naturally occurring signals can be sparsely represented in some domain. In recent years, CS has helped reduce scan time in Magnetic Resonance Imaging (making scans more feasible for pediatric and geriatric subjects) and has also helped reduce the health hazard in X-Ray Computed CT. This book is a valuable resource suitable for an engineering student in signal processing and requires a basic understanding of signal processing and linear algebra. Covers fundamental concepts of compressed sensing Makes subject matter accessible for engineers of various levels Focuses on algorithms including group-sparsity and row-sparsity, as well as applications to computational imaging, medical imaging, biomedical signal processing, and machine learning Includes MATLAB examples for further development
Signal Processing for Computer Vision is a unique and thorough treatment of the signal processing aspects of filters and operators for low-level computer vision. Computer vision has progressed considerably over recent years. From methods only applicable to simple images, it has developed to deal with increasingly complex scenes, volumes and time sequences. A substantial part of this book deals with the problem of designing models that can be used for several purposes within computer vision. These partial models have some general properties of invariance generation and generality in model generation. Signal Processing for Computer Vision is the first book to give a unified treatment of representation and filtering of higher order data, such as vectors and tensors in multidimensional space. Included is a systematic organisation for the implementation of complex models in a hierarchical modular structure and novel material on adaptive filtering using tensor data representation. Signal Processing for Computer Vision is intended for final year undergraduate and graduate students as well as engineers and researchers in the field of computer vision and image processing.
This book focuses on methods for service-differentiated and constraint-based wavelength routing and resource allocation for multi-service WDM networks, tailored at needs of specific network users and adaptable to services yet to emerge. A number of unique routing solutions are proposed, and an extensive analysis of dynamically re-configurable multi-service WDM networks impart the major contribution to the current efforts in standardisation and network operation, and give an inimitable motivation for further study and research.
As the race to build the world's first quantum computer is coming to an end, the race to build the quantum internet has just started. This book leverages the author's unique insights into both the Chinese and American quantum programs. It begins with the physics and history of the quantum internet and ends with the latest results in quantum computing and quantum networks. The Chinese quantum Sputnik moment. The U.S. National Quantum Initiative. What's up with Quantum Computing Supremacy? The Race to Build the Quantum Internet. Where will Quantum Technology be Tomorrow? Written by a renowned quantum physicist, this book is for everyone who is interested in the rapidly advancing field of Quantum Technology - The Second Quantum Revolution. The 2016 launch of the Chinese quantum satellite Mozi was a quantum Sputnik moment. The United States went from thinking it was ten years ahead of the Chinese to the realization that it was ten years behind them. This quantum gap led to the U.S. National Quantum Initiative, launched in 2018. Since then, the race to build the quantum internet has taken off at breakneck speed.
This book focuses on the stabilization and model predictive control of interconnected systems with mixed connection configurations. It introduces the concept of dissipation-based quadratic constraint for developing attractivity assurance methods for interconnected systems. In order to develop these methods, distributed and decentralized architectures are employed, whereby the communication between subsystems is fully connected, partially connected, or completely disconnected. Given that the control inputs are entirely or partially decoupled between subsystems and no additional constraints are imposed on the interactive variables beyond the coupling constraint itself, the proposed approaches can be used with various types of systems and applications. Further, the book describes how the effects of coupling delays and data losses in device networks are resolved. From a practical perspective, the innovations presented are of benefit in applications in a broad range of fields, including the process and manufacturing industries, networked robotics, and network-centric systems such as chemical process systems, power systems, telecommunication networks, transportation networks, and, no less importantly, supply chain automation.
This book introduces a unique perspective on the use of data from popular emerging technologies and the effect on user quality of experience (QoE). The term data is first refined into specific types of data such as financial data, personal data, public data, context data, generated data, and the popular big data. The book focuses the responsible use of data, with consideration to ethics and wellbeing, in each setting. The specific nuances of different technologies bring forth interesting case studies, which the book breaks down into mathematical models so they can be analyzed and used as powerful tools. Overall, this perspective on the use of data from popular emerging technologies and the resulting QoE analysis will greatly benefit researchers, educators and students in fields related to ICT studies, especially where there is additional interest in ethics and wellbeing, user experience, data management, and their link to emerging technologies.
This book adopts the managerial perspective to the study of smart cities. As such, this book is a necessary addition to the existing body of literature on smart cities. The chapters included in this book prove the case that transformation of cities to smart cities is a function of effective and efficient management practices implemented at diverse levels of smart cities. While advances in information and communication technology (ICT) are crucial, it is the ability to apply ICT consciously and efficiently that drives the transformation of cities to smart cities in a manner conducive to cities' sustainability and resilience. The book covers three sets of interconnected topics: Management and decision-making for urban design and infrastructure development Management and decision-making in context of smart cities development Ways of promoting and ensuring participation, representation and co-creation in smart cities These three groups of topics offer a great opportunity to acquire a clear, direct, and practice-driven knowledge and understanding of how effective management allows ICT-enhanced tools and applications to change smart cities, possibly making them smarter.
This book presents posits a solution to the current limitations in global connectivity by introducing a global laser/optical communication system using constellation satellites, UAVs, HAPs and Balloons. The author outlines how this will help to satisfy the tremendous increasing demand for data exchange and information between end-users worldwide including in remote locations. The book provides both fundamentals and the advanced technology development in establishing worldwide communication and global connectivity using, (I) All-Optical technology, and (ii) Laser/Optical Communication Constellation Satellites (of different types, sizes and at different orbits), UAVs, HAPs (High Altitude Platforms) and Balloons. The book discusses step-by-step methods to develop a satellite backbone in order to interconnect a number of ground nodes clustered within a few SD-WAN (software-defined networking) in a wide area network (WAN) around the world in order to provide a fully-meshed communication network. This book pertains to anyone in optical communications, telecommunications, and system engineers, as well as technical managers in the aerospace industry and the graduate students, and researchers in academia and research laboratory. Proposed a solution to the limitations in global connectivity through a global laser/optical communication system using constellation satellites, UAVs, HAPs and Balloons; Provides both fundamentals and the advanced technology development in establishing global communication connectivity using optical technology and communication constellation satellites; Includes in-depth coverage of the basics of laser/optical communication constellation satellites.
Multilingual Text-to-Speech Synthesis: The Bell Labs Approach is the first monograph-length description of the Bell Labs work on multilingual text-to-speech synthesis. Every important aspect of the system is described, including text analysis, segmental timing, intonation and synthesis. There is also a discussion of evaluation methodologies, as well as a chapter outlining some future areas of research. While the book focuses on the Bell Labs approach to the various problems of converting from text into speech, other approaches are discussed and compared. Thus, this book serves both the function of providing a single reference to an important strand of research in multilingual synthesis, while at the same time providing a source of information on current trends in the field. Chapters in this work were contributed by Richard Sproat, Jan van Santen, Bernd Mobius, Chilin Shih, Joseph Olive, Evelyne Tzoukermann, all of Bell Labs, and Kazuaki Maeda of the University of Pennsylvania. |
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