Objectives
Modern multimedia systems most often make use of numerous sensors to capture inputs from the user(s) for interaction with the system. However, the real-life environment around such systems is typically dynamic, noisy, and unpredictable, which hinders direct application of data-driven methods to infer the desired user interaction. This course therefore introduces signal processing theory and methods for analyzing and processing sensor data, e.g., to facilitate robust feature extraction and data clean-up for subsequent machine learning. More specifically, the course will go over the following topics: spectral analysis, signal modelling, parameter estimation, noise estimation, signal enhancement, and multichannel filtering.
Students who complete the module will obtain:
Students who complete the module will be able to:
Students who complete the module will be able to:
Refer to the overview of instruction types listed in § 17.
Name of exam | Signal Processing for Interactive Systems |
Type of exam | Oral exam based on a project |
ECTS | 5 |
Permitted aids | With certain aids:
See semester description |
Assessment | 7-point grading scale |
Type of grading | Internal examination |
Criteria of assessment | The criteria of assessment are stated in the Examination Policies and Procedures |
Danish title | Signalbehandling til interaktive systemer |
Module code | MSNMEDM2223 |
Module type | Course |
Duration | 1 semester |
Semester | Spring
|
ECTS | 5 |
Language of instruction | English |
Location of the lecture | Campus Aalborg, Campus Copenhagen |
Responsible for the module |
Study Board | Study Board of Media Technology |
Department | Department of Architecture, Design and Media Technology |
Faculty | The Technical Faculty of IT and Design |