Difference between revisions of "ECE301:SanSummer08 OldKiwi" - Rhea

Revision as of 21:17, 17 July 2008

General Course Information

ECE 301

Summer 2008

Instructor: Aung Kyi San

Lecture: M T W Th F 9:50 am - 10:50 am @ EE 117

Office Hours: M W 11:00 am - 12:00 am

Email : asan@purdue.edu

Main Topics of the Course

1. Lecture 1
   1. Signal Energy and Power_OldKiwi
   2. Transformation of the independent variable_OldKiwi
2. Lecture 2
   1. Periodic Signals_OldKiwi
   2. Even and Odd Signals_OldKiwi
   3. Exponential and Sinusoidal signals (CT)_OldKiwi
3. Lecture 3
   1. Exponential and Sinusoidal signals (DT)_OldKiwi
   2. The unit impulse and unit step functions_OldKiwi
4. Lecture 4
   1. Continuous-Time and Discrete-Time_OldKiwi
   2. Basic System Properties_OldKiwi
5. Lecture 5
   1. DT LTI systems: The convolution sum_OldKiwi
6. Lecture 6
   1. CT LTI systems: The convolution integral_OldKiwi
7. Lecture 7
   1. Properties of LTI systems_OldKiwi
   2. Unit step response of an LTI system_OldKiwi
8. Lecture 8
   1. LTI systems described by differential equations(CT) and difference equation(DT)_OldKiwi
   2. Response of LTI systems to complex exponentials_OldKiwi
9. Lecture 9
   1. Response of LTI systems to complex exponentials_OldKiwi
   2. Fourier Series representation of continuous-time periodic signals_OldKiwi
10. Lecture 10
    1. Fourier Series Representation of CT periodic signals_OldKiwi
    2. Properties of CT Fourier Series_OldKiwi
11. Lecture 11
    1. Fourier Series Representation of CT periodic signals using properties_OldKiwi
    2. Fourier Series Representation of DT periodic signals_OldKiwi
12. Lecture 12
    1. Properties of discrete time Fourier Series_OldKiwi
    2. Fourier Series and LTI Systems_OldKiwi
13. Lecture 13
    1. CT Fourier Transform_OldKiwi
14. Lecture 14
    1. Convergence of Fourier Transform_OldKiwi
    2. Fourier Transform of periodic signals_OldKiwi
    3. Properties of Continuous Fourier Transforms_OldKiwi
15. Lecture 15
    1. Applications of Convolution Property_OldKiwi
    2. Applications of Multiplication Property_OldKiwi
    3. Frequency selective filtering_OldKiwi
16. Lecture 16
    1. Frequency selective filtering_OldKiwi
    2. CT LTI systems charachterized by LCCDE_OldKiwi
17. Lecture 17
    1. Communication Systems_OldKiwi
    2. Complex Exponential And Sinusoidal_OldKiwi
    3. Amplitude Modulation (AM_OldKiwi
    4. Demodulation for AM_OldKiwi
18. Lecture 18
    1. Frequency Division Multiplextion (FDM)_OldKiwi
    2. Single-Sideband Sinusoidal AM_OldKiwi
    3. AM with a pluse-train carrier_OldKiwi
19. Lecture 19
    1. Discrete-time Fourir Transform_OldKiwi
    2. DTFT for periodic signals_OldKiwi
    3. Properties of DTFT_OldKiwi
20. Lecture 20
    1. Tables 5.1 and 5.2_OldKiwi
    2. LTI systems characterized by LCCDEs_OldKiwi
21. Lecture 21
    1. Duality_OldKiwi
    2. CTFT_OldKiwi
    3. DTFS_OldKiwi
    4. CRFS & DTFT_OldKiwi
22. Lecture 22
    1. Sampling_OldKiwi
    2. Representation of a CT signalby its samples:_OldKiwi
    3. The Sampling Theorem_OldKiwi

Homework Problems

1. Homework 1 - Summer 08_OldKiwi
2. Homework 2 - Summer 08_OldKiwi
3. Homework 3 - Summer 08_OldKiwi
4. Homework 4 - Missing 3.28 & 4.4b_OldKiwi
5. Homework 4 - 4.4b_OldKiwi
6. Homework 5 - Missing 4.45, 4.46 & 4.49_OldKiwi
7. Homework 5 - Missing First three and last one_OldKiwi
8. Homework 6 - Don't know 5.8_OldKiwi

Exams

1. Exam 1 - Summer 08_OldKiwi

Bonus Problems

1. Bonus 2 - Summer 08_OldKiwi
2. Bonus 3 - Exam I_OldKiwi
3. Bonus 5 - Exam I_OldKiwi
4. Bonus 6 - Convolution Proofs_OldKiwi

Other Topics

Add other relevent/interesting pages here:

You can use latex in Kiwi, here is a Latex Cheat Sheet

1. Practice Problems - Exam 1_OldKiwi
2. Exam 1 Formula's_OldKiwi