隨機過程
Stochastic Processes
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5 13:20–14:10 | 隨機過程 EE113 3 節連堂 |
6 14:20–15:10 | |
7 15:30–16:20 |
* 根據陽明交大上課時間表所列
This course introduces random variables, vectors, sequences and process used to model various engineering problems in the real world. It also covers some basic knowledge about estimation and detection. Several important concepts will be introduced including: wide sense stationary, power spectral density, random process in LTI systems, ergodic, etc.
Signals and Systems, Probability and Linear Algebra (Students who did not take these three courses are strongly suggested NOT to take this course).
TAs 李品毅 leo20001006.ee12@nycu.edu.tw 劉昱楷 as9606184.ee12@nycu.edu.tw 黃于昕 c306y.ee12@nycu.edu.tw 吳思諭 wsihyu1002.ee12@nycu.edu.tw Office: EE815 Phone: x54472 Office Hours: by appointment
Grading: Homework: 20% (Some homework requires the use of Matlab) Midterm-I: 25% Midterm-II: 25% Final: 30% Note that the midterm and final are “Closed-book” exams.
- Random Variables
- Random Vectors
- Random Sequences
- Random Process
- Basics of Estimation Theory
- Basics of Detection Theory
- Random process in LTI systems
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H. Stark and J. W. Woods, Probability, Statistics, and Random Processes for Engineers, 4th Edt. Prentice Hall, 2012
- 地點
- EE5 734
- 時間
- Office Hours: 14:30-15:30, Wed., or by appointment
- 聯絡方式
- 54346