EE420 COURSE SYLLABUS

TEXT: Probabilistic Methods of signal Analysis, Cooper, McGillem

 

 

CLASS

CHAPTER

PAGES

TOPICS & [PROBLEMS]

1

1

1:13

Definitions, Relative Frequency Approach [4.5, 4.6]

2

1

13:22

Set Theory, Axiomatic Approach [5.2,5.4,6.2,6.3]

3

1

22:27

Joint, Conditional Probability [7.3, 7.5, 7.7]

4

1

27:36

Independence, Bernoulli Trials [8.3, 9.1, 9.2, 10.6, 10.7]

5

2

48:52

Random Variable, Distribution Functions [2.1, 2.4]

6

2

52:63

Density, Moments [3.1, 3.2, 4.1]

7

2

63:80

Gaussian distribution [5.1, 5.3]

8

1,2

 

Review

9

EXAM 1

 

Chap 1, 2

10

3

110:122

Two RV's, Independence [1.2, 1.3, 2.1]

11

3

122:135

Correlation, Characteristic function [2.4, 3.1, 4.1]

12

4

141:152

Sample Mean, variance [2.1, 2.2, 2.3]

13

4

161:165

Linear Regression [6.1b, 6.2b]

14

5

170:179

Random Processes, basic definitions [3.1, 3.2, 6.1]

15

3,4,5

 

Review

16

EXAM 2

 

Chap 3,4,5

17

6

189:200

Autocorrelation [1.1, 2.1, 3.3]

18

6

204:211

Crosscorrelation [5.3, 5.4, 7.1, 7.3, 7.4]

19

6

211:220

Examples [8.2]

20

7

230:243

Spectral Density - Fourier Transform [1.1, 2.2, 2.3]

21

7

243:245

251:262

Spectral Density - Autocorrelation, White Noise [6.1, 6.3]

22

7

262:269

Examples [tbd]

23

8

284:300

Linear System response [tbd]

24

8

300:320

Linear System response cont [tbd]

25

9

331:350

Optimal systems, s/n ration [tbd]

26

9

350:356

Optimal systems, mean square error [tbd]

Review

27

EXAM 3

 

Chap 6,7,8,9

28

COURSE REVIEW