Ambient Communications and Computer Systems, Hu, Y.-C.
Автор: Lathi Название: Essentials of Digital Signal Processing ISBN: 1107059321 ISBN-13(EAN): 9781107059320 Издательство: Cambridge Academ Рейтинг: Цена: 109830.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This textbook offers a fresh approach to digital signal processing (DSP), combining heuristic reasoning and physical appreciation with sound mathematical methods. It uses metaphors, analogies and creative explanations and exercises. There are 500 figures, over 170 fully worked examples, hundreds of end-of-chapter problems, and over 150 drill exercises with student solutions.
Автор: Chen Название: Antennas for Global Navigation Satellite Systems ISBN: 1119993679 ISBN-13(EAN): 9781119993674 Издательство: Wiley Рейтинг: Цена: 94990.00 T Наличие на складе: Поставка под заказ. Описание: Designed to educate the reader on the most important aspects of GNSS antenna technology, this book covers the theory and design of antennas suitable for a Global Navigation Satellite System (GNSS).
Автор: Grewal Название: Global Navigation Satellite Systems, Inertial Navigation, and Integration, 3rd Edition ISBN: 111844700X ISBN-13(EAN): 9781118447000 Издательство: Wiley Рейтинг: Цена: 106650.00 T Наличие на складе: Поставка под заказ. Описание: The Global Positioning System (GPS) may be used in conjunction with Inertial Navigation Systems (INS) for tracking and navigation and may be applied in the civilian and military sectors to track devices, to locate people and objects, in the air, on the ground, or at sea.
Автор: Perez Название: Ambient Communications and Computer Systems ISBN: 9811073856 ISBN-13(EAN): 9789811073854 Издательство: Springer Рейтинг: Цена: 279500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Neural Network based Novel Detection Technique for Analysis of Pollutant levels in Air.- A Dual Coding Technique to Reduce Dynamic Power Dissipation in Deep Submicron (DSM) Technology.- Short Term Solar Power Forecasting using Random Vector Functional Link (RVFL) Network.- A CSA based Architecture of Vedic Multiplier for Complex Multiplication.- Using Parallel and Distributed Reachability in Model Checking.- Trust Evaluation in Social Network Using Trusted Graph.- Exactly Once Semantics with Real-time Data Pipelines.- Analysis of Online Suspicious Behavior Patterns.- A Review of Biometrics Modalities and Data Mining Algorithms.- Real-Time Eye Detection Method For Driver Assistance System.- Gabor-Max-DCT Feature Extraction Techniques for Facial Gesture Recognition.
Автор: Yu-Chen Hu; Shailesh Tiwari; Krishn K. Mishra; Mun Название: Ambient Communications and Computer Systems ISBN: 9811359334 ISBN-13(EAN): 9789811359330 Издательство: Springer Рейтинг: Цена: 186330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book includes high-quality, peer-reviewed papers from the International Conference on Recent Advancement in Computer, Communication and Computational Sciences (RACCCS-2018), held at Aryabhatta College of Engineering & Research Center, Ajmer, India on August 10–11, 2018, presenting the latest developments and technical solutions in computational sciences. Networking and communication are the backbone of data science, data- and knowledge engineering, which have a wide scope for implementation in engineering sciences. This book offers insights that reflect the advances in these fields from upcoming researchers and leading academicians across the globe. Covering a variety of topics, such as intelligent hardware and software design, advanced communications, intelligent computing technologies, advanced software engineering, the web and informatics, and intelligent image processing, it helps those in the computer industry and academia use the advances in next-generation communication and computational technology to shape real-world applications.
Автор: Van Mieghem, Piet. Название: Performance analysis of complex networks and systems / ISBN: 1107058600 ISBN-13(EAN): 9781107058606 Издательство: Cambridge Academ Рейтинг: Цена: 83430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A rigorous and self-contained guide to the mathematical, stochastic and graph theoretic methods needed to analyse the performance and robustness of complex networks and systems. Containing problems and solved solutions, the book is ideal for graduate students taking courses in performance analysis.
Автор: Hamilton William L. Название: Graph Representation Learning ISBN: 1681739631 ISBN-13(EAN): 9781681739632 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 57290.00 T Наличие на складе: Невозможна поставка. Описание: Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical synthesis, 3D vision, recommender systems, question answering, and social network analysis.
This book provides a synthesis and overview of graph representation learning. It begins with a discussion of the goals of graph representation learning as well as key methodological foundations in graph theory and network analysis. Following this, the book introduces and reviews methods for learning node embeddings, including random-walk-based methods and applications to knowledge graphs. It then provides a technical synthesis and introduction to the highly successful graph neural network (GNN) formalism, which has become a dominant and fast-growing paradigm for deep learning with graph data. The book concludes with a synthesis of recent advancements in deep generative models for graphs-a nascent but quickly growing subset of graph representation learning.
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Автор: Grebennikov Название: Broadband RF and Microwave Amplifiers ISBN: 1138800201 ISBN-13(EAN): 9781138800205 Издательство: Taylor&Francis Рейтинг: Цена: 83690.00 T Наличие на складе: Нет в наличии. Описание:
Broadband RF and Microwave Amplifiers provides extensive coverage of broadband radio frequency (RF) and microwave power amplifier design, including well-known historical and recent novel schematic configurations, theoretical approaches, circuit simulation results, and practical implementation strategies. The text begins by introducing two-port networks to illustrate the behavior of linear and nonlinear circuits, explaining the basic principles of power amplifier design, and discussing impedance matching and broadband power amplifier design using lumped and distributed parameters. The book then:
Shows how dissipative or lossy gain-compensation-matching circuits can offer an important trade-off between power gain, reflection coefficient, and operating frequency bandwidth
Describes the design of broadband RF and microwave amplifiers using real frequency techniques (RFTs), supplying numerous examples based on the MATLAB(R) programming process
Examines Class-E power amplifiers, Doherty amplifiers, low-noise amplifiers, microwave gallium arsenide field-effect transistor (GaAs FET)-distributed amplifiers, and complementary metal-oxide semiconductor (CMOS) amplifiers for ultra-wideband (UWB) applications
Broadband RF and Microwave Amplifiers combines theoretical analysis with practical design to create a solid foundation for innovative ideas and circuit design techniques.
Автор: Rajshree Srivastava, Pradeep Kumar Mallick, Siddha Название: Computational Intelligence for Machine Learning and Healthcare Informatics ISBN: 3110647826 ISBN-13(EAN): 9783110647822 Издательство: Walter de Gruyter Цена: 136310.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: THE SERIES: INTELLIGENT BIOMEDICAL DATA ANALYSIS By focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems resulting from automated data collection in modern hospitals, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring. In medicine, overcoming this gap is crucial since medical decision making needs to be supported by arguments based on existing medical knowledge as well as information, regularities and trends extracted from big data sets.
Автор: Chockalingam Название: Large MIMO Systems ISBN: 1107026652 ISBN-13(EAN): 9781107026650 Издательство: Cambridge Academ Рейтинг: Цена: 132000.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This exclusive coverage of the opportunities, technological challenges, solutions, and state of the art of large MIMO systems provides an in-depth discussion of algorithms for large MIMO signal processing, suited for large MIMO signal detection, precoding and LDPC code designs. An ideal resource for researchers, designers, developers and practitioners in wireless communications.
Автор: Virtanen Название: Adoption And Optimization Of Embedded And Real-Time Communication Systems ISBN: 146662776X ISBN-13(EAN): 9781466627765 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 184800.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The digital age is actively developing and changing due to the efforts put into modeling and designing communication systems towards compound and secure communication-enabled embedded systems. <br><br><em>Adoption and Optimization of Embedded and Real-Time Communication Systems</em> presents innovative research on the integration of embedded systems, real-time systems and the developments towards multimedia technology. This book is essential for researchers, practitioners, scientists, and IT professionals interested in expanding their knowledge of this interdisciplinary field.
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