Probability and Random Processes for Electrical and Computer Engineers (English Edition)

Probability and Random Processes for Electrical and Computer Engineers (English Edition)

作者
Charles Therrien、Murali Tummala
语言
英语
出版社
CRC Press
出版日期
2018年9月3日
纸书页数
431页
电子书格式
epub,pdf,mobi,azw3,txt,fb2,djvu
文件大小
14857 KB
下载次数
7452
更新日期
2023-04-04
运行环境
PC/Windows/Linux/Mac/IOS/iPhone/iPad/iBooks/Kindle/Android/安卓/平板
内容简介

With updates and enhancements to the incredibly successful first edition, Probability and Random Processes for Electrical and Computer Engineers, Second Edition retains the best aspects of the original but offers an even more potent introduction to probability and random variables and processes. Written in a clear, concise style that illustrates the subject’s relevance to a wide range of areas in engineering and physical and computer sciences, this text is organized into two parts. The first focuses on the probability model, random variables and transformations, and inequalities and limit theorems. The second deals with several types of random processes and queuing theory.

New or Updated for the Second Edition:

A short new chapter on random vectors that adds some advanced new material and supports topics associated with discrete random processes

Reorganized chapters that further clarify topics such as random processes (including Markov and Poisson) and analysis in the time and frequency domain

A large collection of new MATLAB®-based problems and computer projects/assignments

Each Chapter Contains at Least Two Computer Assignments

Maintaining the simplified, intuitive style that proved effective the first time, this edition integrates corrections and improvements based on feedback from students and teachers. Focused on strengthening the reader’s grasp of underlying mathematical concepts, the book combines an abundance of practical applications, examples, and other tools to simplify unnecessarily difficult solutions to varying engineering problems in communications, signal processing, networks, and associated fields.

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