Magnus Jansson
Professor in signal processing
About Magnus Janssons Research:
Signals are often physical quantities that vary with time, such as electromagnetic radiation, voltage and current – but they can also be share prices, DNA sequences, traffic flows, sound or images. Signal processing involves modelling, analysing and transforming these signals and the information they contain, using mathematical and statistical methods. This often means collating measurement data, processing it, for example through compression or noise reduction, extracting information, storing it, and ultimately recreating the signal or related information.
One area that Magnus Jansson and his group have studied is effective methods for system identification or estimating models for large, dynamic systems, and for spectral analysis. This is used within almost all fields of engineering.
The models can be used to improve the effectiveness of performance monitoring and controlling machines or processes, or for more indirectly extracting related information such as within spectroscopy, where the frequency content of the signals corresponds to different substances. They can also be used to create more efficient transport systems and to reduce energy consumption. The group has also studied methods for positioning using accelerometers, gyroscopes and video cameras in environments where there is no access to GPS.