本課程旨在使學生能利用基本的工具分析數位與連續訊號之模型。除此之外，亦提供學生檢測與估測理論之觀念。This course aims to enable students to use basic tools to analyze digital and continuous signal models. In addition, it also provides students with the concepts of detection and estimation theory.
在本課程中，我們將學習隨機程序之理論。除此之外，本課程亦提供檢測與估測理論。於本課程中，我們將提供應用於通訊、訊號與影像處理以及控制理論等領域豐富的範例。本課程涵蓋了三項重要的主題:分別是隨機向量、隨機序列與隨機程序。
In this course, we will study the theory of stochastic programs. In addition, this course also provides detection and estimation theory. In this course, we will provide rich examples applied in fields such as communications, signal and image processing, and control theory. This course covers three important topics: random vectors, random sequences, and random programs.
課堂用書﹕
[1] Henry Stark and John Woods, Probability and Random Processes with
Applications to Signal Processing, 3rd ed., Prentice Hall, 2002.
參考用書﹕
[1] A. Papoulis and S. U. Pillai, Probability, Random Variables, and Stochastic
Processes, 4th ed., McGraw Hill, 2002.
[2] A. LeonGarcia, Probability and Random Processes for Electrical Engineers,
2nd ed., Addison Wesley, 1994.
Classroom books﹕
[1] Henry Stark and John Woods, Probability and Random Processes with
Applications to Signal Processing, 3rd ed., Prentice Hall, 2002.
Reference books﹕
[1] A. Papoulis and S. U. Pillai, Probability, Random Variables, and Stochastic
Processes, 4th ed., McGraw Hill, 2002.
[2] A. LeonGarcia, Probability and Random Processes for Electrical Engineers,
2nd ed., Addison Wesley, 1994.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 作業與平時考作業與平時考 Homework and daily exams |
30 | |
| 期中考期中考 midterm exam |
35 | |
| 期末考期末考 final exam |
35 |
