Probability and Random Processes: With Applications to Signal Processing and Communications (絕)
- 20本以上，享 8.5折
售價
$
洽詢
- 一般書籍
- ISBN：9780121726515
- 作者：Scott L. Miller, Donald Childers
- 版次：1
- 年份：2004
- 出版商：Elsevier B.V.
- 頁數/規格：536頁/精裝單色
書籍介紹
目錄
Description
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.
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.
Table of Contents
Preface
1. Introduction
2. Introduction to Probability Theory
3. Random Variables, Distributions and Density Functions
4. Operations on a Single Random Variable
5. Pairs of Random Variables
6. Multiple Random Variables
7. Random Sequences and Series
8. Random Processes
9. Markov Processes
10. Power Spectral Density
11. Random Processes in Linear Systems
12. Simulation Techniques
Preface
1. Introduction
2. Introduction to Probability Theory
3. Random Variables, Distributions and Density Functions
4. Operations on a Single Random Variable
5. Pairs of Random Variables
6. Multiple Random Variables
7. Random Sequences and Series
8. Random Processes
9. Markov Processes
10. Power Spectral Density
11. Random Processes in Linear Systems
12. Simulation Techniques
