檢測與估計
Detection and Estimation
| 節 | 週二 | 週四 |
|---|---|---|
3 10:10–11:00 | 檢測與估計 ED202 2 節連堂 | |
4 11:10–12:00 | ||
5 13:20–14:10 | 檢測與估計 ED202 |
* 根據陽明交大上課時間表所列
Learn the basic principles of detection theory and estimation theory. Major Topics: Estimation Part: 1. Introduction 2. Minimum Variance Unbiased Estimation 3. Cramer-Rao Lower Bound 4. Linear Models 5. General MVU Estimation 6. Best Linear Unbiased Estimators 7. Maximum Likelihood Estimators 8. Least Squares 9. Method of Moments 10. Bayesian Estimator 11. Linear Bayesian Estimators Detection Part: 1. Statistical Decision Theory I 2. Detecting Signals in Gaussian Noise 3. Statistical Decision Theory II
Linear Algebra, Probability, Random Processes
Classroom: You may either come to the calssroom or listen to the lectures via Google Meet. 10:10am-Noon ED202 Tuesday (Live broadcast: https://meet.google.com/ory-zrpo-irm) 1:20pm-2:10pm ED202 Thursday (Live broadcast: https://meet.google.com/ooi-fqki-zaf) Handouts: Available at NYCU E3 platform
考試部份: open book, open notes 評量部份: Homework 20% Midterm Exam 35% (10:10pm – Noon, 2025/4/8) Final Exam 45% (1:20pm - 4:20pm, 2025/6/5)
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| 第 8 週 | 4/9: Midterm |
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| 第 16 週 | 6/6: Final Exam |
Fundamentals of Statistical Signal Processing, Volume I: Estimation Theory by Steven M. Kay, Prentice Hall, 1993. Fundamentals of Statistical Signal Processing, Volume II: Detection Theory (Chap 1 ~ Chap 6) by Steven M. Kay, Prentice Hall, 1993.
- 地點
- ED649
- 時間
- 10:00am - Noon Wednesday
- 聯絡方式
- shengjyh@nycu.edu.tw