Probability, Random Variables, and Random Processes
Language: English
Published by Wiley, 2012
- Softcover
- Used
Condition: Used - Very good
£ 148.71
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: Este libro de texto completo sobre teoría de la probabilidad para ingenieros proporciona un marco matemático más riguroso de lo que se encuentra habitualmente en los cursos de pregrado. Está dirigido a estudiantes de primer año de posgrado que tengan cierta familiaridad con la probabilidad y las variables aleatorias, aunque no necesariamente con los procesos y sistemas aleatorios que operan con señales aleatorias. También es apropiado para estudiantes avanzados de pregrado que tengan una sólida formación matemática. El libro incluye material relacionado sobre integración, desigualdades e identidades importantes, transformadas en el dominio de la frecuencia y álgebra lineal. También contiene un extenso resumen de 33 variables aleatorias y sus propiedades, como momentos, funciones características y entropía. A diferencia de la mayoría de los libros sobre probabilidad, se han incluido numerosas figuras para aclarar y ampliar puntos importantes. Se han diseñado más de 600 ilustraciones y diagramas de MATLAB para reforzar el material e ilustrar las diversas caracterizaciones y propiedades de las cantidades aleatorias. EAN: 9780470242094 Tipo: Libros Categoría: Tecnología|Educación|Ciencias Título: Probability, Random Variables, and Random Processes Autor: John J. Shynk Editorial: Wiley Idioma: en Páginas: 794 Formato: tapa dura.…
Seller Inventory # Happ-2026-08-04-a020ef53
- Title
- Probability, Random Variables, and Random Processes
- Author
- John J. Shynk
- Publisher
- Wiley
- Publication year
- 2012
- Condition
- Very Good
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0470242094
- ISBN 13
- 9780470242094
Probability, Random Variables, and Random Processes is a comprehensive textbook on probability theory for engineers that provides a more rigorous mathematical framework than is usually encountered in undergraduate courses. It is intended for first-year graduate students who have some familiarity with probability and random variables, though not necessarily of random processes and systems that operate on random signals. It is also appropriate for advanced undergraduate students who have a strong mathematical background.
The book has the following features:
- Several appendices include related material on integration, important inequalities and identities, frequency-domain transforms, and linear algebra. These topics have been included so that the book is relatively self-contained. One appendix contains an extensive summary of 33 random variables and their properties such as moments, characteristic functions, and entropy.
- Unlike most books on probability, numerous figures have been included to clarify and expand upon important points. Over 600 illustrations and MATLAB plots have been designed to reinforce the material and illustrate the various characterizations and properties of random quantities.
- Sufficient statistics are covered in detail, as is their connection to parameter estimation techniques. These include classical Bayesian estimation and several optimality criteria: mean-square error, mean-absolute error, maximum likelihood, method of moments, and least squares.
- The last four chapters provide an introduction to several topics usually studied in subsequent engineering courses: communication systems and information theory; optimal filtering (Wiener and Kalman); adaptive filtering (FIR and IIR); and antenna beamforming, channel equalization, and direction finding. This material is available electronically at the companion website.
Probability, Random Variables, and Random Processes is the only textbook on probability for engineers that includes relevant background material, provides extensive summaries of key results, and extends various statistical techniques to a range of applications in signal processing.
"Synopsis" may belong to another edition of this title.
About the Author
JOHN J. SHYNK, PhD, is Professor of Electrical and Computer Engineering at the University of California, Santa Barbara. He was a Member of Technical Staff at Bell Laboratories, and received degrees in systems engineering, electrical engineering, and statistics from Boston University and Stanford University.
"About the title" may belong to another edition of this title.
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