Transform Methods and Signal Processing (APP MTH 4043, and 7011)
| Home |
 News |
| Lecture Notes |
| Handouts |
| Class Exercises |
| Project |
| Links |
| Resources |
| Other materials |
| Lecture 01 | ![slides [PDF]](images/slides.jpg) |
![notes [PDF]links](images/notes.jpg) |
![audio [OGG_VORBIS]](images/ogg-vorbis.jpg) |
 |
 |
Introduction |
| Lecture 02 | |
|
|
|
|
Continuous Fourier Transforms |
| Lecture 03 | |
|
|
|
|
Discrete Fourier Transforms |
| Lecture 04 | |
|
|
|
|
Sampling and transforms in 2D |
| Lecture 05 | |
|
|
|
|
Filters |
| Lecture 06 | |
|
|
|
|
2D filters, and Linear systems |
| Lecture 07 | |
|
|
|
|
Theory: FFTs, Random Processes, Parseval, Rayleigh and Plancheral |
| Lecture 08 | |
|
|
|
|
Windows and the STFT |
| Lecture 09 | |
|
|
|
|
Wavelets and multi-resolution analysis |
| Lecture 10 | |
|
|
|
|
Discrete-Wavelet filters |
| Lecture 11 | |
|
|
|
|
2D Wavelets |
| Lecture 12 | |
|
|
|
Fractals, and wavelets + non-standard sampling NB: not examinable |
Matthew Roughan
Last modified: Wed Sep 8 13:05:41 2010