Instructor:
Haideh Khorramabadi
Course Description
Course Reader (Filters)
Course Reader (Nyquist Rate Data Converters)
Course Reader (Oversampled Data Converters)
Lecture Notes Session 1
Lecture Notes Session 2
Lecture Notes Session 3
Lecture Notes Session 4
Homework #1
Solution Homework #1
Lecture Notes Session 5
Lecture Notes Session 6
Homework #2
Solution Homework #2
Paper to read for Homework #2
Lecture Notes Session 7
Lecture Notes Session 8
Homework #3
Solution Homework #3
Lecture Notes Session 9
Lecture Notes Session 10
Homework #4
Solution to Homework #4
Lecture Notes Session 11
Lecture Notes Session 12
Homework #5
Solution Homework #5
Lecture Notes Session 13
Lecture Notes Session 14
Lecture Notes Session 15
Midterm
Midterm Solution
Homework #6 due date postponed to Nov. 4
Solution for Homework #6
Lecture Notes Session 16
Lecture Notes Session 17
Homework #7
Homework #7 Solution
Lecture Notes Session 18
Lecture Notes Session 19
Homework #8 Due Nov. 16th (note modification)
Homework #8 Solution
Lecture Notes Session 20
Lecture Notes Session 21
Lecture Notes Session 22
Homework #9 Due Dec. 2nd
Homework #9 Solution
Lecture Notes Session 23
Lecture Notes Session 24
Homework #10 Due Dec. 9th- Please do not collaborate on this homework- Note since you will be choosing an over-sampling ratio larger than what is needed, you can allocate the extra noise to thermal KT/C. Also, assume anti-aliasing filter has accurate corner frequency and choose the corner frequency to be at 100kHz:
Homework #10 Solution
Lecture Notes Session 25
Lecture Notes Session 26
Final Exam
Final Exam Solution