1. Lecturer: Prof. Xiliang Luo, Office: 106, Office Hour: Friday 5:00-6:00pm
2. TA: Dong Pei, Office Hour: Friday, 6-8pm
3. Grading:
** Homework: weekly, 30%
** Midterm: 20% [11/5/2014, NOTE the weight is changed to only 20%]
** Final: 25% [Due 3:30pm on 1/7/2015, pleas pick up your exam papers in room 106 at 10:00am, 1/6/2015]
** Project: 25% [Project Information, Due 12/31/2014, please turn in your projects reports by 3:30pm in room 318]
4. Textbook: Discrete Time Signal Processing, A. V. Oppenheim and R. W. Schafer, Prentice Hall, 3rd Edition
5. Reference book: Probability and Random Processes with Applications to Signal Processing, Henry Stark and John W. Woods, Prentice Hall, 3rd Edition
6. Lecture notes etc.
Week |
Lecture Note |
HW/Solutions |
Additonal Notes |
| 1 | Intro. to DSP | HW for Week-1 | |
| 2 | Z-Transform | HW for Week-2 | |
| 3 | Sampling Theorm | HW for Week-3 | due on Oct. 10th |
| 5 | Muti-rate Signal Processing | HW for Week-5 | due on Oct. 17th |
| 6 | A/D, D/A, DFT | HW for Week-6 | due on Oct. 24th |
| 7 | FFT | HW for Week-7 | due on Oct. 31st |
| 8 | Review for midterm exam; Transform Analysis of LTI Systems-1 |
no HW this week | |
| 9 | Transform Analysis of LTI Systems-2 | HW for Week-9 | Midterm Exam on 11/5, HW due on Nov. 14 |
| 10 | Structures for Discrete-Time Systems | HW for Week-10 | due on Nov. 21 |
| 11 | Filter Designs IIR, FIR | HW for Week-11 | due on Dec. 3 |
| 12 | Parametric Signal Modeling | ||
| 13 | Bayesian Philosophy | ||
| 14 | Bayesian Estimators | ||
| 15 | Kalman Filtering | ||
| 16 | |||