Course News:
- November 25, 2008
- The mini-projects have been posted
- October 20, 2008
- The Quiz has been rescheduled for Oct. 23
- October 18, 2008
- Problem set #2 solution has been released.
- October 12, 2008
- Problem set #1 solution has been released.
- October 8, 2008
- A new version of problem set #2 has been posted with several typos fixed.
- September 15, 2008
- Problem Set 1 corrections:
- Problem 4 E), replace the original one with
- Problem 6 B), replace the word "row" with "column."
- TA's office hours move from Wednesday to Monday (3:00-4:00pm & 4:30-5:30pm) for the next week(Sep. 19) ONLY.
- Problem 4 E), replace the original one with
- September 14, 2008
- Add Python installation instructions in the resources section.
- August 29, 2008
- The Website is finally on-line.
Course Staff:
| Lectures: | Leonard McMillan | |
| Phone: | 919-962-1778 | |
| Email: | ||
| Office: | SN319, Sitterson Hall | |
| Office Hours: | TBA |
| Teaching Assistant: | Yu-Hsien (Michael) Su | |
| Phone: | 919-962-1863 | |
| Email: | ||
| Office: | SN307, Sitterson Hall | |
| Office Hours: | R 3:00-5:00pm (+W 3:00-5:00pm in the week of homework due) |
| 4 problem sets: | 40% | |
| 2 Quizzes: | 40% | |
| Mini Project | 20% |
Problem sets are due at the specified class meeting (before lecture). You will have at least two weeks to complete each set. Late problem sets will be penalized as follows:
| Days Late | Max Score | |
|---|---|---|
| 1 | = | 70% |
| 2 | = | 50% |
| 3 | = | 35% |
| >3 | = | 0% |
Lecture Slides:
Lecture 1: Introduction and Signals
Lecture 2: System Properties
Lecture 3: Convolution
Lecture 4: Real and Special Signals
Lecture 5: Fourier Series and Transforms
Lecture 6: Frolicking Fourier Fun
Lecture 7: Fourier Filtering
Lecture 8: Fourier Pairs and Sampling
Lecture 9: Reconstruction & Interpolation
Lecture 10: Image Resizing
Lecture 11: Image Transforms & Warps
Lecture 12: Scan Converting Triangles
Lecture 13: Hidden Signals in Data
Lecture 14: Linear Dimensionality Reduction
Lecture 15: Non-Linear Dimensionality Reduction
Lecture 16: Color Topics
Lecture 17: Vector Quantization
Lecture 18: Curves and Splines
Lecture 19: Tensor Decomposition
Lecture 20: Wavelets & Multiresolution Analysis
Lecture 21: Scattered-Data Interpolation
Lecture 2: System Properties
Lecture 3: Convolution
Lecture 4: Real and Special Signals
Lecture 5: Fourier Series and Transforms
Lecture 6: Frolicking Fourier Fun
Lecture 7: Fourier Filtering
Lecture 8: Fourier Pairs and Sampling
Lecture 9: Reconstruction & Interpolation
Lecture 10: Image Resizing
Lecture 11: Image Transforms & Warps
Lecture 12: Scan Converting Triangles
Lecture 13: Hidden Signals in Data
Lecture 14: Linear Dimensionality Reduction
Lecture 15: Non-Linear Dimensionality Reduction
Lecture 16: Color Topics
Lecture 17: Vector Quantization
Lecture 18: Curves and Splines
Lecture 19: Tensor Decomposition
Lecture 20: Wavelets & Multiresolution Analysis
Lecture 21: Scattered-Data Interpolation
Problem Sets:
| Problem Set #1 | Handout Mandrill Image Box Image Unit Sample | Solutions | ||
| Problem Set #2 | Handout Mandrill Image | Solutions | ||
| Problem Set #3 | Handout | Solutions | ||
| Problem Set #4 | Handout Mandrill Tiny Image 256 x256 Gray Mandrill Image | Solutions |
Resources: