Probability and Random Variables for Electrical Engineering, Catak
Автор: Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong Название: Mathematics for Machine Learning ISBN: 110845514X ISBN-13(EAN): 9781108455145 Издательство: Cambridge Academ Рейтинг: Цена: 42230.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This self-contained textbook introduces all the relevant mathematical concepts needed to understand and use machine learning methods, with a minimum of prerequisites. Topics include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics.
Автор: Thomas A. Garrity Название: All the Math You Missed ISBN: 1009009192 ISBN-13(EAN): 9781009009195 Издательство: Cambridge Academ Рейтинг: Цена: 26400.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The second edition of this bestselling book provides an overview of the key topics in undergraduate mathematics, allowing beginning graduate students to fill in any gaps in their knowledge. With numerous examples, exercises and suggestions for further reading, it is a must-have for anyone looking to learn some serious mathematics quickly.
Автор: Carlson W. Bernard Название: Tesla: Inventor of the Electrical Age ISBN: 0691165610 ISBN-13(EAN): 9780691165615 Издательство: Wiley Рейтинг: Цена: 19000.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Nikola Tesla was a major contributor to the electrical revolution that transformed daily life at the turn of the twentieth century. His inventions, patents, and theoretical work formed the basis of modern AC electricity, and contributed to the development of radio and television. Like his competitor Thomas Edison, Tesla was one of America`s first c
Автор: Harish Parthasarathy Название: Advanced Probability and Statistics ISBN: 1032384379 ISBN-13(EAN): 9781032384375 Издательство: Taylor&Francis Рейтинг: Цена: 132710.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book surveys some of the important research work carried out by Indian scientists in the field of pure and applied probability, quantum probability, quantum scattering theory, group representation theory and general relativity.
Автор: Gibson Название: Fourier Transforms, Filtering, Probability and Random Processes ISBN: 3031195795 ISBN-13(EAN): 9783031195792 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Нет в наличии. Описание: This book provides the background and the mathematical methods necessary to understand the basic transforms in signal processing and linear systems and probability and random processes to prepare for in depth study of analog and digital communications systems. This tutorial presentation provides developments of Fourier series and other orthogonal series, including trigonometric and complex exponential Fourier series, least squares approximations and generalized Fourier series, and the spectral content of periodic signals. This text thoroughly covers Fourier transform pairs for continuous time signals, Fourier transform properties, and the magnitude and phase of Fourier transforms. The author includes discussions of techniques for the analysis of continuous time linear systems in the time and frequency domains with particular emphasis on the system transfer function, impulse response, system/filter bandwidth, power and energy calculations, and the time domain sampling theorem. The basics of probability and random processes, including the key concepts of expected value, variance, characteristic functions, common probability distributions, autocorrelation, power spectral densities, wide sense stationarity, and ergodicity, are all developed in some detail. Many examples and problems are included to illustrate and examine these topics. • Provides developments of Fourier series and other orthogonal series • Presents fundamental Fourier transform properties and example applications • Discusses techniques for the analysis of continuous time linear systems in the time and frequency domains • Presents a fundamental development of probability and random variables • Develops the basic ideas of random processes including autocorrelation, power spectral densities, stationarity, and ergodicity
Автор: Nair, Jayakrishnan (indian Institute Of Technology, Bombay) Wierman, Adam (california Institute Of Technology) Zwart, Bert (stichting Centrum Voor Wis Название: Fundamentals of heavy tails ISBN: 1316511731 ISBN-13(EAN): 9781316511732 Издательство: Cambridge Academ Рейтинг: Цена: 52790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Heavy tails - extreme events more common than expected - are everywhere, but they are still treated as mysterious and confusing because the necessary mathematical models are not widely known. For the first time, this book provides a rigorous introduction to heavy-tailed distributions accessible to anyone who knows elementary probability.
Автор: Arak M. Mathai, Hans J. Haubold Название: Probability and Statistics: A Course for Physicists and Engineers ISBN: 3110562537 ISBN-13(EAN): 9783110562538 Издательство: Walter de Gruyter Цена: 53250.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book offers an introduction to concepts of probability theory, probability distributions relevant in the applied sciences, as well as basics of sampling distributions, estimation and hypothesis testing. As a companion for classes for engineers and scientists, the book also covers applied topics such as model building and experiment design. ContentsRandom phenomenaProbabilityRandom variablesExpected valuesCommonly used discrete distributionsCommonly used density functionsJoint distributionsSome multivariate distributionsCollection of random variablesSampling distributionsEstimationInterval estimationTests of statistical hypothesesModel building and regressionDesign of experiments and analysis of varianceQuestions and answers
Автор: Mukherjee Название: Analytical Modeling of Heterogeneous Cellular Networks ISBN: 1107050944 ISBN-13(EAN): 9781107050945 Издательство: Cambridge Academ Рейтинг: Цена: 58070.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This comprehensive, self-contained introduction to the use of stochastic geometry techniques for studying the behaviour of heterogeneous cellular networks presents a range of analytic results and approaches, including the mathematical tools and techniques used to derive these results. A valuable reference for industry practitioners, graduate students and researchers.
Автор: Walrand, Jean Название: Probability in electrical engineering and computer science ISBN: 3030499979 ISBN-13(EAN): 9783030499976 Издательство: Springer Рейтинг: Цена: 37260.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This edition includes new topics such as Boosting, Multi-armed bandits, statistical tests, social networks, queuing networks, and neural networks. For ancillaries related to this book, including examples of Python demos and also Python labs used in Berkeley, please email Mary James at mary.james@springer.com.This is an open access book.
Автор: Ta-Hsin Li Название: Parameter Estimation of Sinusodial Signals in Noise: Theory and Methods ISBN: 1584881763 ISBN-13(EAN): 9781584881766 Издательство: Taylor&Francis Рейтинг: Цена: 163330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Presents a comprehensive survey of various important methods developed for parameter estimation of sinusoids in noise. This book develops methods and algorithms and balances their explanations with theoretical analysis. It emphasizes intuition and interpretation behind the theoretical reasoning and results.
Автор: Simon Marvin K., Riedel Eibe Название: Probability Distributions Involving Gaussian Random Variables / A Handbook for Engineers and Scientists ISBN: 0387346570 ISBN-13(EAN): 9780387346571 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This handbook brings together a comprehensive collection of mathematical material in one location. It also offers a variety of new results interpreted in a form that is particularly useful to engineers, scientists, and applied mathematicians.
Chapter 1. Introduction.- Chapter 2. Sets, Venn diagrams, Probability and Bayes' Rule.- Chapter 3. Concept of a random variable.- Chapter 4. Multiple random variables and their Characteristics.- Chapter 5. Applications to Data Analytics and Modeling.
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