Fundamentals of Probability and Stochastic Processes with Applications to Communications, Kun Il Park
Автор: Sklar Bernard, Harris Fredric J. Название: Digital Communications: Fundamentals and Applications ISBN: 0134588568 ISBN-13(EAN): 9780134588568 Издательство: Pearson Education Рейтинг: Цена: 18282.00 р. Наличие на складе: Поставка под заказ.
Описание: This is a revised and updated edition of the field's classic, best-selling introduction. With remarkable clarity, Dr. Bernard Sklar introduces every digital communication technology at the heart of today's wireless and Internet revolutions, providing a unified structure and context for understanding them -- all without sacrificing mathematical precision. Throughout, Sklar helps students understand the big picture and delve into the details of current modulation, coding, and signal processing techniques. He traces signals and key processing steps from the information source through transmitter, channel, receiver, and information sink.
Digital Communications, Third Edition begins by introducing the fundamentals of signals, spectra, formatting, and baseband transmission. Next, Sklar presents practical coverage of trellis-coded modulation, Reed-Solomon codes, synchronization, spread spectrum solutions, and much more. Throughout, he offers numeric examples, step-by-step implementation guidance, and block diagrams that place key concepts and techniques in clear context. Coverage includes:
Signals and spectra, including signal classification, spectral density, transmission, and bandwidth
Formatting, baseband modulation, and baseband demodulation/detection
Bandpass modulation and demodulation/detection
Communications link analysis and system link budgets
Channel coding: waveform, block, convolutional, and Reed-Solomon codes
Advanced turbo coding and Low-Density Parity Check (LDPC) techniques
Managing modulation and coding tradeoffs
Receiver and network synchronization
Multiplexing and multiple access
Spread spectrum overview and techniques
Source coding: amplitude quantizing, differential PCM, adaptive prediction, digital data, and more
Fading channels: challenges, characterization, and mitigations
The essentials of OFDM and MIMO technology
Long Term Evolution (LTE) Wireless, Software Defined Radio, 5G, and other advances
Описание: This cutting-edge book is a clear and thorough exposition of signal-processing fundamentals for communications and major sensing systems. Based on the author’s earlier book in this area, this revised and expanded resource offers you expert guidance in the detection of optical, acoustic and radio-frequency signals in noise. It covers digital filtering and parameter estimation, and helps you with problems associated with radar system design, including search, tracking and measurement ambiguity.
Описание: Revision of: Statistics and probability with applications for engineers and scientists. 2013.
Автор: Kelly Название: Stochastic Networks ISBN: 1107691702 ISBN-13(EAN): 9781107691704 Издательство: Cambridge Academ Рейтинг: Цена: 6019.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Communication networks underpin our modern world, and provide fascinating and challenging examples of large-scale stochastic systems. This compact introduction to some of the stochastic models found useful in the study of communication networks is ideal for graduate students wishing to understand this important area of application.
Автор: Kelly Название: Stochastic Networks ISBN: 1107035775 ISBN-13(EAN): 9781107035775 Издательство: Cambridge Academ Рейтинг: Цена: 10930.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Communication networks underpin our modern world, and provide fascinating and challenging examples of large-scale stochastic systems. This compact introduction to some of the stochastic models found useful in the study of communication networks is ideal for graduate students wishing to understand this important area of application.
Описание: The purpose of this book is to present results on the subject of weak convergence in function spaces to study invariance principles in statistical applications to dependent random variables, U-statistics, censor data analysis. Different techniques, formerly available only in a broad range of literature, are for the first time presented here in a self-contained fashion. Contents:Weak convergence of stochastic processesWeak convergence in metric spacesWeak convergence on C[0, 1] and D[0,?)Central limit theorem for semi-martingales and applicationsCentral limit theorems for dependent random variablesEmpirical processBibliography
Описание: This book is an up-to-date, unified and rigorous treatment of theoretical, computational and applied research on Markov decision process models. The concentration of the book is on infinite-horizon discrete-time models, and it also discusses arbitrary state spaces, finite-horizon and continuous-time discrete-state models.
Автор: Rene L. Schilling, Lothar Partzsch Название: Brownian Motion: An Introduction to Stochastic Processes ISBN: 3110307294 ISBN-13(EAN): 9783110307290 Издательство: Walter de Gruyter Цена: 6368.00 р. Наличие на складе: Нет в наличии.
Описание: Brownian motion is one of the most important stochastic processes in continuous time and with continuous state space. Within the realm of stochastic processes, Brownian motion is at the intersection of Gaussian processes, martingales, Markov processes, diffusions and random fractals, and it has influenced the study of these topics. Its central position within mathematics is matched by numerous applications in science, engineering and mathematical finance. Often textbooks on probability theory cover, if at all, Brownian motion only briefly. On the other hand, there is a considerable gap to more specialized texts on Brownian motion which is not so easy to overcome for the novice. The authors’ aim was to write a book which can be used as an introduction to Brownian motion and stochastic calculus, and as a first course in continuous-time and continuous-state Markov processes. They also wanted to have a text which would be both a readily accessible mathematical back-up for contemporary applications (such as mathematical finance) and a foundation to get easy access to advanced monographs. This textbook, tailored to the needs of graduate and advanced undergraduate students, covers Brownian motion, starting from its elementary properties, certain distributional aspects, path properties, and leading to stochastic calculus based on Brownian motion. It also includes numerical recipes for the simulation of Brownian motion.
Описание: This book provides engineers with focused treatment of the mathematics needed to understand probability, random variables, and stochastic processes, which are the essential mathematical disciplines used in communications engineering.
Автор: Sergei Silvestrov; Anatoliy Malyarenko; Milica Ran Название: Stochastic Processes and Applications ISBN: 3030028240 ISBN-13(EAN): 9783030028244 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book highlights the latest advances in stochastic processes, probability theory, mathematical statistics, engineering mathematics and algebraic structures, focusing on mathematical models, structures, concepts, problems and computational methods and algorithms important in modern technology, engineering and natural sciences applications.It comprises selected, high-quality, refereed contributions from various large research communities in modern stochastic processes, algebraic structures and their interplay and applications. The chapters cover both theory and applications, illustrated by numerous figures, schemes, algorithms, tables and research results to help readers understand the material and develop new mathematical methods, concepts and computing applications in the future. Presenting new methods and results, reviews of cutting-edge research, and open problems and directions for future research, the book serves as a source of inspiration for a broad spectrum of researchers and research students in probability theory and mathematical statistics, applied algebraic structures, applied mathematics and other areas of mathematics and applications of mathematics.The book is based on selected contributions presented at the International Conference on “Stochastic Processes and Algebraic Structures – From Theory Towards Applications” (SPAS2017) to mark Professor Dmitrii Silvestrov’s 70th birthday and his 50 years of fruitful service to mathematics, education and international cooperation, which was held at M?lardalen University in V?ster?s and Stockholm University, Sweden, in October 2017.
Описание: The theory of structured dependence has many real-life applications in areas such as finance, insurance, seismology, neuroscience, and genetics. The first book to be devoted to this research area, this is a useful tool for researchers and practitioners in the field, as well as graduate students.
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