|
課程名稱 |
通訊隨機過程
RANDOM PROCESSES FOR COMMUNICATIONS ENGINEERING |
|
開課學期 |
98-2 |
|
授課對象 |
電機資訊學院 生醫電子與資訊學研究所 |
|
授課教師 |
鐘嘉德 |
|
課號 |
CommE5037 |
|
課程識別碼 |
942 U0440 |
|
班次 |
|
|
學分 |
3 |
|
全/半年 |
半年 |
|
必/選修 |
選修 |
|
上課時間 |
星期五6,7,8(13:20~16:20) |
|
上課地點 |
博理112 |
|
備註 |
總人數上限：100人 |
|
|
|
|
課程簡介影片 |
|
|
核心能力關聯 |
核心能力與課程規劃關聯圖 |
|
課程大綱
|
|
為確保您我的權利,請尊重智慧財產權及不得非法影印
|
|
課程概述 |
1. Review of Random Variables (Papoulis, Chaps. 1-7, and class note)
2. Introduction to Random Processes: General Concepts and Spectral Analysis (Papoulis, Chap. 9, and class note)
3. Gaussian Random Vectors and Gaussian Random Processes (Larson & Shubert, class note)
4. Signal Representation -- Karhunen-Love Expansion (Papoulis, Chap. 11, and class note)
5. Narrowband Process and Bandpass Systems (Davenport and Root, and class note)
6. Other Random Processes (Poisson Processes, Renewal Processes, Wiener Processes, Markov Processes, etc.) (Leon-Garcia, and class note
|
|
課程目標 |
The purpose of this course is to provide students with a solid and pertinent mathematical background for thoroughly understanding digital communications, statistical communication theory, detection and estimation theory, as well as modulation theory. It is a prerequisite for advanced study of numerous telecommunication applications, namely wireless communications, spread spectrum communications, satellite communications, underwater acoustic communications, optical communications, radar and sonar signal processing, signal synchronization, etc. The students majoring in communications are strongly recommended to take this course. The course consists of lectures organized in class notes. |
|
課程要求 |
預修科目: 機率與統計
期中考及期末考各一次；令外，將提供四次作業
成績評量方式: 作業: 30%; 期中考: 35%; 期末考: 35%
|
|
預期每週課後學習時數 |
|
|
Office Hours |
|
|
參考書目 |
教科書: 無教科書，將提供上課筆記
參考書目: A. Papoulis, Probability, Random Variables, and Stochastic Processes, fourth edition, McGraw-Hill, 2002.
H. Larson and B. Shubert, Probabilistic Models in Engineering Sciences, vols. 1 and 2, Wiley, 1979.
W. Davenport and W. Root, An Introduction to the Theory of Random Signals and Noise, McGraw Hill, 1958.
L. Sharf, Statistical Signal Processing: Detection, Estimation, and Time Series Analysis, Addison-Wesley, 1990.
E. Wong and B. Hajek, Stochastic Processes in Engineering Systems, Springer-Verlag, 1985.
A. Leon-Garcia, Probability and Random Processes for Electrical Engineering, Addison-Wesley, 1989.
|
|
指定閱讀 |
|
|
評量方式
(僅供參考) |
|
|