Instructor: Kannan Ramchandran
Office hours: Monday 1:30-3pm (257
Cory)
E-mail: kannanr AT eecs DOT berkeley
DOT
edu
(put ee120
in the subject line)
Assistant: Amy Ng, 253 Cory, x3-6633
TA: Hari Palaiyanur
Office hours: Wednesday 1-2pm (Cory 197)
E-mail: harigsi AT gmail DOT com
TA:
Office hours: Tuesday
E-mail: nielsgsi AT gmail DOT com
Email Niels if there are
problems with the webpage.
No late homeworks will be
accepted!
Matlab m-files.
Homework 1 solutions
Homework 2 solutions
Homework 3 solutions
Problem 4 solution
Homework 4 solutions
Homework 5 solutions
Homework 6 solutions (Matlab corrected 4/1/05)
Problem 5 Matlab m-file
Homework 7 solutions
Homework 8 solutions
Homework 9 solutions
Homework 10 solutions
Homework 11 solutions
Lecture: MW
Section 101: M
Section 102: M
Section 103: W
Section 104: W
Note: You may attend any or all of the sections.
Quiz 1: February 16
Midterm 1: March 16
Quiz 2: April 20
Final Exam: Monday, May 16th, 8-11am at 10 Evans
No. |
Date |
What we talk about |
Assigned |
1 |
Jan 19 |
Signals and Systems Elementary Properties |
LV Chapter 2; OWN Chapter 1 Handout 1 (System properties) |
2 |
Jan 24 |
LTI Systems in the time domain Convolution, Impulse response |
|
3 |
Jan 26 |
LTI System properties (cont'd ) |
OWN Chapter 2 |
4 |
Jan 31 |
Summary and Outlook Some key examples of system analysis and system design (A frequency filter, and a multipath communication situation). Conclusion: We need Fourier representations. |
OWN Chapter 2 |
5 |
Feb 2 |
Fourier Representations I Fourier Series |
|
6 |
Feb 7 |
DTFS (cont'd): · DTFS as a rotation of the coordinate system, that is, as a projection of the signal into a new coordinate system. · Parseval's
theorem, or why JPEG image compression works. |
OWN Section 3.7.3 |
7 |
Feb 9 |
Fourier Representations II Fourier Transform
(cont'd): Using the properties (Parseval; Finding the inverse of a low-pass
filter; Modulation by a cosine) |
|
8 |
Feb 14 |
Fourier Representations III Discrete-time Fourier Transform (cont'd) · Complex exponentials as eigenfunctions of LTI systems |
|
9 |
Feb 16 |
Sampling Direct approach Quiz 1 (end of class) |
|
- |
Feb 21 |
President's Day (no class) |
|
10 |
Feb 23 |
Sampling Impulse train sampling, Reconstruction, Non-ideal sampling, Aliasing |
|
11 |
Feb 28 |
Sampling Discrete-time processing of continuous-time
signals |
|
12 |
March 2 |
Sampling Subsampling of discrete-time signals |
|
13 |
March 7 |
Sampling (cont) |
|
14 |
March 9 |
Communication Systems Pulse Amplitude Modulation, Digital Communications |
OWN Chapter 8 |
15 |
March 14 |
Communication Systems Pulse Amplitude Modulation: Pulse design considerations. Uncertainty Principle. Code-Division multiple access concept. |
OWN Chapter 8 |
16 |
March 16 |
Communication Systems Frequency modulation. Discrete-time modulation. Midterm (evening) |
OWN Chapters 1-8 |
- |
March 21-25 |
SPRING BREAK |
|
17 |
March 28 |
Control |
|
18 |
March 30 |
|
|
19 |
April 4 |
|
|
20 |
April 6 |
|
OWN Chapter 9: 9.7, 9.8, 9.4; Chapter 11: 11.1, 11.2.1-11.2.3, PID Tutorial |
21 |
April 11 |
|
OWN Chapter 9, Handout 3 (Bode Diagrams) |
22 |
April 13 |
|
OWN Chapter 11: 11.1, 11.2.1-11.2.3 |
23 |
April 18 |
Z transform |
OWN Chapter 10 |
24 |
April 20 |
Z transform LTI systems analysis; simple feedback systems |
OWN Chapter 10 |
25 |
April 25 |
Catch-up lecture |
|
26 |
April 27 |
Z transform Unilateral z Transform (difference equations) |
OWN Chapter 10 (10.9) |
27 |
May 2 |
Signal Processing Filter design |
OWN Sections 6.4, 9.7.5, |
28 |
May 4 |
Signal Processing for Communications Filter design; Wavelets and Filter Banks; OFDM principles |
|
29 |
May 9 |
Random Signals and Systems Principles |
|
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