Stochastic Modeling In Broadband Communications Systems
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Author |
: Ingemar Kaj |
Publisher |
: SIAM |
Total Pages |
: 193 |
Release |
: 2002-01-01 |
ISBN-10 |
: 0898718295 |
ISBN-13 |
: 9780898718294 |
Rating |
: 4/5 (95 Downloads) |
Synopsis Stochastic Modeling in Broadband Communications Systems by : Ingemar Kaj
Provides a concise overview of stochastic models and mathematical techniques for solving challenging mathematical and statistical problems and enhances readers' overall understanding of communication systems. The book also presents an excellent introduction to a huge area of interesting problems and models arising from modern developments in broadband channel transmission systems.
Author |
: Ingemar Kaj |
Publisher |
: Laboratory for Research in Statistics and Probability = Laboratoire de recherche en statistique et probabilités, Carleton University |
Total Pages |
: 134 |
Release |
: 1999 |
ISBN-10 |
: OCLC:45246449 |
ISBN-13 |
: |
Rating |
: 4/5 (49 Downloads) |
Synopsis Stochastic Modeling in Broadband Communications Systems by : Ingemar Kaj
Author |
: Jan Beran |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 892 |
Release |
: 2013-05-14 |
ISBN-10 |
: 9783642355127 |
ISBN-13 |
: 3642355129 |
Rating |
: 4/5 (27 Downloads) |
Synopsis Long-Memory Processes by : Jan Beran
Long-memory processes are known to play an important part in many areas of science and technology, including physics, geophysics, hydrology, telecommunications, economics, finance, climatology, and network engineering. In the last 20 years enormous progress has been made in understanding the probabilistic foundations and statistical principles of such processes. This book provides a timely and comprehensive review, including a thorough discussion of mathematical and probabilistic foundations and statistical methods, emphasizing their practical motivation and mathematical justification. Proofs of the main theorems are provided and data examples illustrate practical aspects. This book will be a valuable resource for researchers and graduate students in statistics, mathematics, econometrics and other quantitative areas, as well as for practitioners and applied researchers who need to analyze data in which long memory, power laws, self-similar scaling or fractal properties are relevant.
Author |
: Daniela Calvetti |
Publisher |
: SIAM |
Total Pages |
: 229 |
Release |
: 2013-03-21 |
ISBN-10 |
: 9781611972474 |
ISBN-13 |
: 1611972477 |
Rating |
: 4/5 (74 Downloads) |
Synopsis Computational Mathematical Modeling by : Daniela Calvetti
Interesting real-world mathematical modelling problems are complex and can usually be studied at different scales. The scale at which the investigation is carried out is one of the factors that determines the type of mathematics most appropriate to describe the problem. The book concentrates on two modelling paradigms: the macroscopic, in which phenomena are described in terms of time evolution via ordinary differential equations; and the microscopic, which requires knowledge of random events and probability. The exposition is based on this unorthodox combination of deterministic and probabilistic methodologies, and emphasizes the development of computational skills to construct predictive models. To elucidate the concepts, a wealth of examples, self-study problems, and portions of MATLAB code used by the authors are included. This book, which has been extensively tested by the authors for classroom use, is intended for students in mathematics and the physical sciences at the advanced undergraduate level and above.
Author |
: James D. Meiss |
Publisher |
: SIAM |
Total Pages |
: 392 |
Release |
: 2017-01-24 |
ISBN-10 |
: 9781611974645 |
ISBN-13 |
: 161197464X |
Rating |
: 4/5 (45 Downloads) |
Synopsis Differential Dynamical Systems, Revised Edition by : James D. Meiss
Differential equations are the basis for models of any physical systems that exhibit smooth change. This book combines much of the material found in a traditional course on ordinary differential equations with an introduction to the more modern theory of dynamical systems. Applications of this theory to physics, biology, chemistry, and engineering are shown through examples in such areas as population modeling, fluid dynamics, electronics, and mechanics.? Differential Dynamical Systems begins with coverage of linear systems, including matrix algebra; the focus then shifts to foundational material on nonlinear differential equations, making heavy use of the contraction-mapping theorem. Subsequent chapters deal specifically with dynamical systems concepts?flow, stability, invariant manifolds, the phase plane, bifurcation, chaos, and Hamiltonian dynamics. This new edition contains several important updates and revisions throughout the book. Throughout the book, the author includes exercises to help students develop an analytical and geometrical understanding of dynamics. Many of the exercises and examples are based on applications and some involve computation; an appendix offers simple codes written in Maple?, Mathematica?, and MATLAB? software to give students practice with computation applied to dynamical systems problems.
Author |
: John B. Drake |
Publisher |
: SIAM |
Total Pages |
: 169 |
Release |
: 2014-01-01 |
ISBN-10 |
: 9781611973549 |
ISBN-13 |
: 1611973546 |
Rating |
: 4/5 (49 Downloads) |
Synopsis Climate Modeling for Scientists and Engineers by : John B. Drake
Climate modeling and simulation teach us about past, present, and future conditions of life on earth and help us understand observations about the changing atmosphere and ocean and terrestrial ecology. Focusing on high-end modeling and simulation of earth's climate, Climate Modeling for Scientists and Engineers presents observations about the general circulations of the earth and the partial differential equations used to model the dynamics of weather and climate, covers numerical methods for geophysical flows in more detail than many other texts, discusses parallel algorithms and the role of high-performance computing used in the simulation of weather and climate, and provides supplemental lectures and MATLAB® exercises on an associated Web page.
Author |
: Jianke Yang |
Publisher |
: SIAM |
Total Pages |
: 453 |
Release |
: 2010-01-01 |
ISBN-10 |
: 9780898719680 |
ISBN-13 |
: 0898719682 |
Rating |
: 4/5 (80 Downloads) |
Synopsis Nonlinear Waves in Integrable and Nonintegrable Systems by : Jianke Yang
Presents cutting-edge developments in the theory and experiments of nonlinear waves. Its comprehensive coverage of analytical and numerical methods for nonintegrable systems is the first of its kind.
Author |
: E. van Groesen |
Publisher |
: SIAM |
Total Pages |
: 233 |
Release |
: 2007-07-12 |
ISBN-10 |
: 9780898716252 |
ISBN-13 |
: 089871625X |
Rating |
: 4/5 (52 Downloads) |
Synopsis Continuum Modeling in the Physical Sciences by : E. van Groesen
Principles and methods of mathematical modeling with a focus on applications in the natural sciences.
Author |
: Vladas Pipiras |
Publisher |
: Cambridge University Press |
Total Pages |
: 693 |
Release |
: 2017-04-18 |
ISBN-10 |
: 9781107039469 |
ISBN-13 |
: 1107039460 |
Rating |
: 4/5 (69 Downloads) |
Synopsis Long-Range Dependence and Self-Similarity by : Vladas Pipiras
A modern and rigorous introduction to long-range dependence and self-similarity, complemented by numerous more specialized up-to-date topics in this research area.
Author |
: Frank Kelly |
Publisher |
: Cambridge University Press |
Total Pages |
: 233 |
Release |
: 2014-02-27 |
ISBN-10 |
: 9781107035775 |
ISBN-13 |
: 1107035775 |
Rating |
: 4/5 (75 Downloads) |
Synopsis Stochastic Networks by : Frank Kelly
A compact, highly-motivated introduction to some of the stochastic models found useful in the study of communications networks.