Signal & Image Processing Lab

Experiments

1. Basic sequences and operations

2. Discrete time system and its properties

3. Discrete Fourier transform and its properties

4. Design & implementation of finite impulse response (FIR) filters

5. Design & implementation of infinite impulse response (IIR) filters

6. Image processing - display and simple manipulations

7. Contrast enhancement and discrete Fourier transform of an image

8. Image filtering

9. Radon transform and connected component labelling

10. Convolution back projection algorithm, hough transform and geometric transformation

11. Synchronised averaging for noise reduction

12. Detection of the QRS and parameterisation of the ECG

Installation

Ensure that MATLAB is installed on your machine. Some experiments may require specific toolboxes such as the Image Processing Toolbox or Signal Processing Toolbox. Install these toolboxes via MATLAB's Add-Ons menu if needed.

References

• Lab manual

• Oppenheim, Alan V., and Ronald W. Schafer. "Discrete-time signal processing." Prentice Hall, 1999.

• Gonzalez, Rafael C., and Richard E. Woods. "Digital image processing." Pearson Education India, 2018.

License

This project falls under the MIT license.