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EECS資電 104 M5M6W5W6
In this course, we will introduce the basics of detection and estimation theory, which are fundamental to many problems in communications, signal processing, and systems theory. In the detection part, we will cover topics such as Neyman Pearson and Bayesian Detection, Detection of Deterministic and Random Signals, Composite Hypothesis Testing etc. In the estimation part, we will discuss topics such as Minimum Variance Unbiased Estimators, the Cramer-Rao Lower Bound, Maximum-Likelihood Estimators, Least Squares Estimator, Bayesian Estimators.
MON | TUE | WED | THU | FRI | |
08:00108:50 | |||||
09:00209:50 | |||||
10:10311:00 | |||||
11:10412:00 | |||||
12:10n13:00 | |||||
13:20514:10 | |||||
14:20615:10 | |||||
15:30716:20 | |||||
16:30817:20 | |||||
17:30918:20 | |||||
18:30a19:20 | |||||
19:30b20:20 | |||||
20:30c21:20 |
超過人限優先加簽通訊所學生. 面授+非同步遠距教學。本課程每週上課150分鐘,其餘時間由教授彈性運用
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