Stochastic Methods And Their Applications To Communications

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Stochastic Methods and their Applications to Communications

Serguei Primak,Valeri Kontorovich,Vladimir Lyandres
Stochastic Methods and their Applications to Communications Book PDF

Author : Serguei Primak,Valeri Kontorovich,Vladimir Lyandres
Publisher : John Wiley & Sons
Page : 446 pages
File Size : 44,6 Mb
Release : 2005-01-28
Category : Technology & Engineering
ISBN : 9780470021170

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Stochastic Methods and their Applications to Communications by Serguei Primak,Valeri Kontorovich,Vladimir Lyandres Pdf

Stochastic Methods & their Applications to Communications presents a valuable approach to the modelling, synthesis and numerical simulation of random processes with applications in communications and related fields. The authors provide a detailed account of random processes from an engineering point of view and illustrate the concepts with examples taken from the communications area. The discussions mainly focus on the analysis and synthesis of Markov models of random processes as applied to modelling such phenomena as interference and fading in communications. Encompassing both theory and practice, this original text provides a unified approach to the analysis and generation of continuous, impulsive and mixed random processes based on the Fokker-Planck equation for Markov processes. Presents the cumulated analysis of Markov processes Offers a SDE (Stochastic Differential Equations) approach to the generation of random processes with specified characteristics Includes the modelling of communication channels and interfer ences using SDE Features new results and techniques for the of solution of the generalized Fokker-Planck equation Essential reading for researchers, engineers, and graduate and upper year undergraduate students in the field of communications, signal processing, control, physics and other areas of science, this reference will have wide ranging appeal.

Fundamentals of Probability and Stochastic Processes with Applications to Communications

Kun Il Park
Fundamentals of Probability and Stochastic Processes with Applications to Communications Book PDF

Author : Kun Il Park
Publisher : Springer
Page : 275 pages
File Size : 47,5 Mb
Release : 2017-11-24
Category : Technology & Engineering
ISBN : 9783319680750

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Fundamentals of Probability and Stochastic Processes with Applications to Communications by Kun Il Park Pdf

This book provides engineers with focused treatment of the mathematics needed to understand probability, random variables, and stochastic processes, which are essential mathematical disciplines used in communications engineering. The author explains the basic concepts of these topics as plainly as possible so that people with no in-depth knowledge of these mathematical topics can better appreciate their applications in real problems. Applications examples are drawn from various areas of communications. If a reader is interested in understanding probability and stochastic processes that are specifically important for communications networks and systems, this book serves his/her need.

Bayesian Analysis of Stochastic Process Models

David Insua,Fabrizio Ruggeri,Mike Wiper
Bayesian Analysis of Stochastic Process Models Book PDF

Author : David Insua,Fabrizio Ruggeri,Mike Wiper
Publisher : John Wiley & Sons
Page : 315 pages
File Size : 45,6 Mb
Release : 2012-04-02
Category : Mathematics
ISBN : 9781118304037

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Bayesian Analysis of Stochastic Process Models by David Insua,Fabrizio Ruggeri,Mike Wiper Pdf

Bayesian analysis of complex models based on stochastic processes has in recent years become a growing area. This book provides a unified treatment of Bayesian analysis of models based on stochastic processes, covering the main classes of stochastic processing including modeling, computational, inference, forecasting, decision making and important applied models. Key features: Explores Bayesian analysis of models based on stochastic processes, providing a unified treatment. Provides a thorough introduction for research students. Computational tools to deal with complex problems are illustrated along with real life case studies Looks at inference, prediction and decision making. Researchers, graduate and advanced undergraduate students interested in stochastic processes in fields such as statistics, operations research (OR), engineering, finance, economics, computer science and Bayesian analysis will benefit from reading this book. With numerous applications included, practitioners of OR, stochastic modelling and applied statistics will also find this book useful.

Random Processes with Applications to Circuits and Communications

Bernard C. Levy
Random Processes with Applications to Circuits and Communications Book PDF

Author : Bernard C. Levy
Publisher : Springer Nature
Page : 464 pages
File Size : 51,7 Mb
Release : 2019-09-14
Category : Technology & Engineering
ISBN : 9783030222970

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Random Processes with Applications to Circuits and Communications by Bernard C. Levy Pdf

This textbook is based on 20 years of teaching a graduate-level course in random processes to a constituency extending beyond signal processing, communications, control, and networking, and including in particular circuits, RF and optics graduate students. In order to accommodate today’s circuits students’ needs to understand noise modeling, while covering classical material on Brownian motion, Poisson processes, and power spectral densities, the author has inserted discussions of thermal noise, shot noise, quantization noise and oscillator phase noise. At the same time, techniques used to analyze modulated communications and radar signals, such as the baseband representation of bandpass random signals, or the computation of power spectral densities of a wide variety of modulated signals, are presented. This book also emphasizes modeling skills, primarily through the inclusion of long problems at the end of each chapter, where starting from a description of the operation of a system, a model is constructed and then analyzed. Provides semester-length coverage of random processes, applicable to the analysis of electrical and computer engineering systems; Designed to be accessible to students with varying backgrounds in undergraduate mathematics and engineering; Includes solved examples throughout the discussion, as well as extensive problem sets at the end of every chapter; Develops and reinforces student’s modeling skills, with inclusion of modeling problems in every chapter; Solutions for instructors included.

Simulation Technologies in Networking and Communications

Al-Sakib Khan Pathan,Muhammad Mostafa Monowar,Shafiullah Khan
Simulation Technologies in Networking and Communications Book PDF

Author : Al-Sakib Khan Pathan,Muhammad Mostafa Monowar,Shafiullah Khan
Publisher : CRC Press
Page : 652 pages
File Size : 46,5 Mb
Release : 2014-11-06
Category : Computers
ISBN : 9781482225495

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Simulation Technologies in Networking and Communications by Al-Sakib Khan Pathan,Muhammad Mostafa Monowar,Shafiullah Khan Pdf

Simulation is a widely used mechanism for validating the theoretical models of networking and communication systems. Although the claims made based on simulations are considered to be reliable, how reliable they really are is best determined with real-world implementation trials. Simulation Technologies in Networking and Communications: Selecting the Best Tool for the Test addresses the spectrum of issues regarding the different mechanisms related to simulation technologies in networking and communications fields. Focusing on the practice of simulation testing instead of the theory, it presents the work of more than 50 experts from around the world. Considers superefficient Monte Carlo simulations Describes how to simulate and evaluate multicast routing algorithms Covers simulation tools for cloud computing and broadband passive optical networks Reports on recent developments in simulation tools for WSNs Examines modeling and simulation of vehicular networks The book compiles expert perspectives about the simulation of various networking and communications technologies. These experts review and evaluate popular simulation modeling tools and recommend the best tools for your specific tests. They also explain how to determine when theoretical modeling would be preferred over simulation. This book does not provide a verdict on the best suitable tool for simulation. Instead, it supplies authoritative analyses of the different kinds of networks and systems. Presenting best practices and insights from global experts, the book provides you with an understanding of what to simulate, where to simulate, whether to simulate or not, when to simulate, and how to simulate for a wide range of issues.

Stochastic Models, Information Theory, and Lie Groups, Volume 2

Gregory S. Chirikjian
Stochastic Models Information Theory and Lie Groups Volume 2 Book PDF

Author : Gregory S. Chirikjian
Publisher : Springer Science & Business Media
Page : 460 pages
File Size : 50,8 Mb
Release : 2011-11-15
Category : Mathematics
ISBN : 9780817649432

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Stochastic Models, Information Theory, and Lie Groups, Volume 2 by Gregory S. Chirikjian Pdf

This unique two-volume set presents the subjects of stochastic processes, information theory, and Lie groups in a unified setting, thereby building bridges between fields that are rarely studied by the same people. Unlike the many excellent formal treatments available for each of these subjects individually, the emphasis in both of these volumes is on the use of stochastic, geometric, and group-theoretic concepts in the modeling of physical phenomena. Stochastic Models, Information Theory, and Lie Groups will be of interest to advanced undergraduate and graduate students, researchers, and practitioners working in applied mathematics, the physical sciences, and engineering. Extensive exercises, motivating examples, and real-world applications make the work suitable as a textbook for use in courses that emphasize applied stochastic processes or differential geometry.

Theory and Applications of Stochastic Processes

Zeev Schuss
Theory and Applications of Stochastic Processes Book PDF

Author : Zeev Schuss
Publisher : Springer Science & Business Media
Page : 486 pages
File Size : 51,7 Mb
Release : 2009-12-09
Category : Mathematics
ISBN : 9781441916051

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Theory and Applications of Stochastic Processes by Zeev Schuss Pdf

Stochastic processes and diffusion theory are the mathematical underpinnings of many scientific disciplines, including statistical physics, physical chemistry, molecular biophysics, communications theory and many more. Many books, reviews and research articles have been published on this topic, from the purely mathematical to the most practical. This book offers an analytical approach to stochastic processes that are most common in the physical and life sciences, as well as in optimal control and in the theory of filltering of signals from noisy measurements. Its aim is to make probability theory in function space readily accessible to scientists trained in the traditional methods of applied mathematics, such as integral, ordinary, and partial differential equations and asymptotic methods, rather than in probability and measure theory.

Stochastic Processes and Their Applications in Artificial Intelligence

Ananth, Christo,Anbazhagan, N.,Goh, Mark
Stochastic Processes and Their Applications in Artificial Intelligence Book PDF

Author : Ananth, Christo,Anbazhagan, N.,Goh, Mark
Publisher : IGI Global
Page : 238 pages
File Size : 52,7 Mb
Release : 2023-07-10
Category : Mathematics
ISBN : 9781668476819

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Stochastic Processes and Their Applications in Artificial Intelligence by Ananth, Christo,Anbazhagan, N.,Goh, Mark Pdf

Stochastic processes have a wide range of applications ranging from image processing, neuroscience, bioinformatics, financial management, and statistics. Mathematical, physical, and engineering systems use stochastic processes for modeling and reasoning phenomena. While comparing AI-stochastic systems with other counterpart systems, we are able to understand their significance, thereby applying new techniques to obtain new real-time results and solutions. Stochastic Processes and Their Applications in Artificial Intelligence opens doors for artificial intelligence experts to use stochastic processes as an effective tool in real-world problems in computational biology, speech recognition, natural language processing, and reinforcement learning. Covering key topics such as social media, big data, and artificial intelligence models, this reference work is ideal for mathematicians, industry professionals, researchers, scholars, academicians, practitioners, instructors, and students.

Matrix-Analytic Methods in Stochastic Models

S. Chakravarthy,Attahiru S. Alfa
Matrix Analytic Methods in Stochastic Models Book PDF

Author : S. Chakravarthy,Attahiru S. Alfa
Publisher : CRC Press
Page : 396 pages
File Size : 47,8 Mb
Release : 2016-04-19
Category : Mathematics
ISBN : 9781482292176

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Matrix-Analytic Methods in Stochastic Models by S. Chakravarthy,Attahiru S. Alfa Pdf

Based on the proceedings of the first International Conference on Matrix-Analytic Methods (MAM) in Stochastic Models, held in Flint, Michigan, this book presents a general working knowledge of MAM through tutorial articles and application papers. It furnishes information on MAM studies carried out in the former Soviet Union.

Mobile Radio Channels

Matthias Pätzold
Mobile Radio Channels Book PDF

Author : Matthias Pätzold
Publisher : John Wiley & Sons
Page : 632 pages
File Size : 47,9 Mb
Release : 2011-10-13
Category : Technology & Engineering
ISBN : 9781119975250

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Mobile Radio Channels by Matthias Pätzold Pdf

Providing a comprehensive overview of the modelling, analysis and simulation of mobile radio channels, this book gives a detailed understanding of fundamental issues and examines state-of-the-art techniques in mobile radio channel modelling. It analyses several mobile fading channels, including terrestrial and satellite flat-fading channels, various types of wideband channels and advanced MIMO channels, providing a fundamental understanding of the issues currently being investigated in the field. Important classes of narrowband, wideband, and space-time wireless channels are explored in detail with descriptions of efficient simulation methods for mobile radio channels being central. Strong emphasis is placed on the detailed origin of the presented channel models and a high degree of mathematical unity is conveyed. Using the described channel models, the reader can evaluate the performance of wireless communication systems under propagation conditions which are typical for multipath channels in various environments. Introduces the fundamentals of stochastic and deterministic channel models Explores the modelling and simulation of both wideband and narrowband mobile radio channels as well as several classes of MIMO channels Describes general concepts including geometrical, reference and simulation models Discusses several methods for the modelling of given Doppler, delay, and angular profiles Elaborates on methods for the design, analysis, and realisation of efficient channel simulators Examines techniques for the development of fast channel simulators Provides links for downloading MATLAB®, programs enabling the simulation and analysis of the mobile fading channels models presented, on the companion website (www.wiley.com/go/paetzold)

Stochastic Processes

Robert G. Gallager
Stochastic Processes Book PDF

Author : Robert G. Gallager
Publisher : Cambridge University Press
Page : 559 pages
File Size : 49,7 Mb
Release : 2013-12-12
Category : Business & Economics
ISBN : 9781107039759

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Stochastic Processes by Robert G. Gallager Pdf

The definitive textbook on stochastic processes, written by one of the world's leading information theorists, covering both theory and applications.

Stochastic Processes and Applications

Grigorios A. Pavliotis
Stochastic Processes and Applications Book PDF

Author : Grigorios A. Pavliotis
Publisher : Springer
Page : 339 pages
File Size : 41,7 Mb
Release : 2014-11-19
Category : Mathematics
ISBN : 9781493913237

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Stochastic Processes and Applications by Grigorios A. Pavliotis Pdf

This book presents various results and techniques from the theory of stochastic processes that are useful in the study of stochastic problems in the natural sciences. The main focus is analytical methods, although numerical methods and statistical inference methodologies for studying diffusion processes are also presented. The goal is the development of techniques that are applicable to a wide variety of stochastic models that appear in physics, chemistry and other natural sciences. Applications such as stochastic resonance, Brownian motion in periodic potentials and Brownian motors are studied and the connection between diffusion processes and time-dependent statistical mechanics is elucidated. The book contains a large number of illustrations, examples, and exercises. It will be useful for graduate-level courses on stochastic processes for students in applied mathematics, physics and engineering. Many of the topics covered in this book (reversible diffusions, convergence to equilibrium for diffusion processes, inference methods for stochastic differential equations, derivation of the generalized Langevin equation, exit time problems) cannot be easily found in textbook form and will be useful to both researchers and students interested in the applications of stochastic processes.

Probability Theory and Stochastic Processes

Pierre Brémaud
Probability Theory and Stochastic Processes Book PDF

Author : Pierre Brémaud
Publisher : Springer Nature
Page : 713 pages
File Size : 48,5 Mb
Release : 2020-04-07
Category : Mathematics
ISBN : 9783030401832

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Probability Theory and Stochastic Processes by Pierre Brémaud Pdf

The ultimate objective of this book is to present a panoramic view of the main stochastic processes which have an impact on applications, with complete proofs and exercises. Random processes play a central role in the applied sciences, including operations research, insurance, finance, biology, physics, computer and communications networks, and signal processing. In order to help the reader to reach a level of technical autonomy sufficient to understand the presented models, this book includes a reasonable dose of probability theory. On the other hand, the study of stochastic processes gives an opportunity to apply the main theoretical results of probability theory beyond classroom examples and in a non-trivial manner that makes this discipline look more attractive to the applications-oriented student. One can distinguish three parts of this book. The first four chapters are about probability theory, Chapters 5 to 8 concern random sequences, or discrete-time stochastic processes, and the rest of the book focuses on stochastic processes and point processes. There is sufficient modularity for the instructor or the self-teaching reader to design a course or a study program adapted to her/his specific needs. This book is in a large measure self-contained.

Probability and Random Processes

Scott Miller,Donald Childers
Probability and Random Processes Book PDF

Author : Scott Miller,Donald Childers
Publisher : Academic Press
Page : 625 pages
File Size : 50,9 Mb
Release : 2012-01-11
Category : Mathematics
ISBN : 9780123869814

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Probability and Random Processes by Scott Miller,Donald Childers Pdf

Miller and Childers have focused on creating a clear presentation of foundational concepts with specific applications to signal processing and communications, clearly the two areas of most interest to students and instructors in this course. It is aimed at graduate students as well as practicing engineers, and includes unique chapters on narrowband random processes and simulation techniques. The appendices provide a refresher in such areas as linear algebra, set theory, random variables, and more. Probability and Random Processes also includes applications in digital communications, information theory, coding theory, image processing, speech analysis, synthesis and recognition, and other fields. * Exceptional exposition and numerous worked out problems make the book extremely readable and accessible * The authors connect the applications discussed in class to the textbook * The new edition contains more real world signal processing and communications applications * Includes an entire chapter devoted to simulation techniques.

Stochastic Processes

Pierre Del Moral,Spiridon Penev
Stochastic Processes Book PDF

Author : Pierre Del Moral,Spiridon Penev
Publisher : CRC Press
Page : 866 pages
File Size : 55,8 Mb
Release : 2017-02-24
Category : Mathematics
ISBN : 9781498701846

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Stochastic Processes by Pierre Del Moral,Spiridon Penev Pdf

Unlike traditional books presenting stochastic processes in an academic way, this book includes concrete applications that students will find interesting such as gambling, finance, physics, signal processing, statistics, fractals, and biology. Written with an important illustrated guide in the beginning, it contains many illustrations, photos and pictures, along with several website links. Computational tools such as simulation and Monte Carlo methods are included as well as complete toolboxes for both traditional and new computational techniques.