Audio-Visual Signal Processing, 50 cr
Type of the study module
Advanced Studies
Contact
Ioan Tabus, Heikki Huttunen, Joni Kämäräinen, Alessandro Foi
Learning Outcomes
| - | After having passed this module the student knows the concepts of signal processing so well that he can explain them, he can develop signal processing methods further and he can innovate products based on signal processing.
The student can analyze measurement signals so that he can determine the characteristics of a digital filter to reach the wanted goal. The student knows the methods of image and video processing deeply. The student can design signal interpretation systems. The student can follow the literature of the field and apply signal processing methods found from the literature and adapt it to the task at hand. |
Content
Compulsory courses
Recommeded years of study are marked below from the MSc study phase point of view, i.e., 4 = 1st year of MSc study phase, 5 = 2nd year of MSc study phase
| Course | Credit points | Class |
| SGN-11007 Introduction to Signal Processing | 5 cr | IV |
| SGN-12007 Introduction to Image and Video Processing | 5 cr | IV |
| SGN-14007 Introduction to Audio Processing | 5 cr | IV |
| SGN-21006 Advanced Signal Processing | 5 cr | IV |
| SGN-22006 Signal Compression | 5 cr | V |
| SGN-24007 Advanced Audio Processing | 5 cr | IV |
| SGN-26006 Advanced Signal Processing Laboratory | 5 cr | V |
| SGN-31007 Advanced Image Processing | 5 cr | IV |
| SGN-33007 Media Analysis | 5 cr | IV |
| SGN-34006 3D and Virtual Reality | 5 cr | V |
| Total | 50 cr |
Complementary Courses
| Course | Credit points |
| SGN-25006 Vector Space Methods for Signal and Image Processing | 5 cr |
Additional information
Signal processing covers the analysis, filtering and interpretation of various types of signals, including audio, images and video. Signal processing methods are often embedded in devices and some software systems. It is advisable to obtain good programming skills in order to be able to apply signal processing methods to such systems. Co-operation with other developers requires also communication, presentation and negotiation skills, as well as project management and leadership skills. The industry is interested in innovative engineers and therefore all self-invented hands-on experimentation with signals and images is highly advisable.
Aside from the courses listed, to complete this major, the students are required to complete the following course: TST-01907 Master's Seminar (1 cr).