Contents
ECE 301: Signals and systems
Ikbeom Jang, Summer 2015
Message area:
- Ashley's office session rescheduled: 7/31(Fri) -> 8/4 (Tue) 3-5 pm at EE 209
- Review session for final exma: 8/5 (Wed) 5 pm
- Homework due every Tuesday.
Course Information
- Instructor: Ikbeom Jang
- Office: EE 30
- Office hour: TR 1-3 pm
- Email: ikbeom.jang.1@purdue.edu
- Teaching Assistant: Ashley Eidsmore
- Office hour: MF 1-3 pm at EE 209
- Email: aeidsmor@purdue.edu
- Course Information
- Broad Course Outline / Updated Course Outline
- Course Description
- Important Dates:
- Midterm: July 10th, 2015 (Fri)
- Final: August 7th, 2015 (Fri) 8-10 am
Lecture Blog
- Copies of lecture notes will be uploaded every day but they will be gone after the weekend. The purpose is to make you study by reviewing lecture notes every day or at least every week.
Chap 0. Review of Some Basic Concepts
Chap 1. Signals and Systems
Chap 2. Linear Time Invariant Systems
- 0622Mon 0623Tue 0624Wed 0625Thu 0626Fri
- Summary of Some Convolution Results and Properties
- 0629Mon 0630Tue 0701Wed 0702Thu 0707Tue
Chap 3. Fourier Series for Periodic Signals
Chap 4. Continuous-Time Fourier Transform
- 0707Tue 0708Wed 0709Thu
- 0713Mon 0714Tue 0715Wed 0716Thu 0717Fri
- Continuous-Time Fourier Transform Table / US Frequency Allocation
- Continuous-Time Fourier Transform Table in Hertz
- 0720Mon 0723Thu
Chap 7. Sampling Theory
Chap 5. Discrete-Time Fourier Transform
- 0724Fri 0727Mon 0728Tue 0729Wed 0730Thu 0731Fri
- 0803Mon
- Discrete-Time Fourier Transform Properties / Pairs
- Exercise Problems on Frequency Response(H(w))
Homeworks
- Homework assignments are due every Tuesday in class. Late submission is not accepted.
- HW1 Solutions 7b Explained
- HW2 Solutions
- HW3 Waveforms Solutions
- HW4 Solutions
- HW5 Solutions
- HW6 Solutions
- HW7
Exams
Presentations
- Check your presentation schedule here.
Grades-So-Far
- Check your grades for Hwk, Quiz, and Midterm here.
Resources
- Convolution in Animation
- Signal Modulation
- Fourier Transform (Talk by Prof. Joe Havlicek explaining the meaning of the Fourier transform very clearly using music.)
