| TSEA70 | Signal and Image Processing, 6,8 ECTS-points /Signal- och bildbehandling/ Advancement level: C | |
| Aim: The course intends to give fundamental knowledge about signal and image processing. It is then used to solve problems in medicin and biology.Prerequisites: TATM38 Mathematical Models in Biology. TSRT01 Introduction in MATLAB is recommended.Course organization: The course consists of lectures, laboratory work based on MATLAB and a literature/case study of an example of medical biological signal processing. The literature/case study is carried out in groups and an oral and written presentation is required.Course content: 1-D signal processing. Linear systems. Signal and frequency domains. Convolution,correlation,filters,impulse response. Sampling and the sampling theorem. DFT and FFT. Resampling and interpolation. Applications: ultrasound, ECG,EEG. 2-D signal processing. Generalization of 1-D results. Images as two-dimensional signals. Filtering of images. Image restoration, compression, reconstruction. Applications: tomography, magnetic resonance, microscopy.Course literature: Oppenheim: Signals and systems. Prentice-Hall. | ||
| TEN1 | Written examination, 1,5 p. | |
| LAB2 | Laboratory work , 3 p. | |