Multidimensional Signal Processing ET2403 (ETD003)
The course aims to expand the terms and methods used within digital signal processing to multi-dimensional signals and systems, for example analysis and design of multi-dimensional filters and spectral analysis of multi-dimensional signals. The applications in the course mainly concern two-dimensional signal processing, such as image processing. The goal is for the student to gain fundamental knowledge needed to continue studies in the field, as well as to become confident using modern image processing methods, for example image quality improvement and image reconstruction.
For more information view the Multidimensional Signal Processing course homepage.