| CORE DIGITAL SIGNAL PROCESSING LECTURES | |||
| # | CONTENT | O&S (2) | |
| Discrete-time signals and systems | |||
| 1 | Introduction, Discrete-time signals, discrete-time systems | 2.1-2.2 | |
| 2 | LTI systems, discrete-time convolution, LTI system properties | 2.3-2.4 | |
| 3 | LCCDEs, Fourier transform and properties (recap) | 2.5 | |
| 4 | Frequency representation of discrete-time signals, DTFT | 2.6-2.7 | |
| The z-transform | |||
| 5 | z-transform and ROC | 3.1-3.2 | |
| 6 | Relationship between z-transform and Fourier/Laplace transform | ||
| 7 | Inverse z-transform | 3.3 | |
| 8 | z-transform properties | 3.4 | |
| Sampling of continuous-time signals | |||
| 9 | Periodic sampling, frequency domain representation of sampling | 4.1-4.2 | |
| 10 | Reconstruction of continuous-time signals from samples | 4.3 | |
| 11 | Discrete-time processing of continuous-time signals | 4.4-4.5 | |
| 12 | Sampling rate conversion | 4.6 | |
| Transform analysis of LTI systems | |||
| 13 | Frequency response of LTI systems | 5.1 | |
| Structures for discrete-time systems | |||
| 14 | Block diagram and signal flow graph representations of LCCDEs | 6.1-6.2 | |
| 15 | Basic structures for IIR systems | 6.3-6.4 | |
| 16 | Basic structures for FIR systems | 6.5 | |
| The discrete Fourier transform | |||
| 17 | Discrete Fourier series, Discrete Fourier transform | 8.1, 8.5 | |
| 18 | Properties of the DFT, circular convolution | 8.6 | |
| 19 | Linear convolution using DFT | 8.7 | |
| Filter design techniques | |||
| 20 | Linear phase filters | 6.5 | |
| 21 | FIR filter design (1) | 7.2-7.3 | |
| 22 | FIR filter design (2) | 7.3-7.4 | |
| 23 | IIR filter design (1) | 7.1 | |
| 24 | IIR filter design (2) | ||
| SIGNAL PROCESSING APPLICATIONS LECTURES | |||
| 8 lectures: image processing (F. Nicolls) | |||
| 8 lectures: speech processing (D. Mashao) | |||
| 8 lectures: radar processing (A. Wilkinson) | |||