Probability and Random Processes: With Applications to Signal Processing and Communications, 2/e (Hardcover)

<內容簡介>

Scott Miller and Donald Childers with Probability and Random Processes, 2nd edition, Miller and Childers have developed a text that is focused on creating a level presentation with pertinent applications to signal processing and communication areas of key interest to students and professionals in today's booming communications industry. It is aimed at practicing engineers as well as undergraduated and graduate students and includes unique treatments of narrowband random processes and simulation techniques.

The appendices provide a refresher in such areas as linear algebra, set theory, and signals and systems as well as tables of random variables and other hand reference material. The book also includes applications in digital communications, information theory, coding theory, image processing, speech analysis, synthesis and recognition, and others.

Features

  Includes many real world applications in signal processing and communications.

  Clearly presents concepts through exceptional exposition and numerous worked out problems.

  Includes MatLab exercises and applications throughout the text; other software may also be used.

  Features an entire chapter devoted to simulation techniques.
<章節目錄>

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

內容簡介：
Scott Miller和Donald Childers在《概率與隨機過程，第二版》中，專注於創建一個與信號處理和通信領域相關的水平演示，這對於當今蓬勃發展的通信行業的學生和專業人士非常重要。該書面向實踐工程師以及本科和研究生學生，包括狹帶隨機過程和模擬技術的獨特處理。

附錄提供了線性代數、集合論和信號與系統等領域的復習，以及隨機變量和其他手冊參考資料的表格。該書還包括數字通信、信息理論、編碼理論、圖像處理、語音分析、合成和識別等應用。

特點：
- 包含許多在信號處理和通信中的實際應用。
- 通過出色的闡述和大量解題清晰地呈現概念。
- 整本書都包含MatLab練習和應用；也可以使用其他軟件。
- 有一整章專門介紹模擬技術。

章節目錄：
1. 引言
2. 概率論入門
3. 隨機變量、分布和密度函數
4. 運算