Today, you find Digital Signal Processing (DSP) in your mobile phone, CD player, automobile, washing machine etc. In short, DSP is everywhere. Basically, DSP converts raw sensor input into useful information. An important goal is to replace expensive sensors with cheap ones, combined with smart signal processing. Another goal is to measure what was previously not possible to measure.
Applications within Mobile Communications and Radar
We have a background in model-based signal processing using, among other things, tools from mathematical statistics and numerical methods. Our “classical” applications are found in wireless communications and radar signal processing, where we work with channel estimation, adaptive antennas and high-resolution methods.
However, it is our ambition to spread the technology to other areas, where modern signal processing can advance the state of the art, for example through refined interpretation of measurements. Examples of such projects include:
- analysis of power quality signals
- landmine detection
- automotive signal processing (engine control and active safety applications)
- video communication
- analysis of EEG and other biomedical signals
The mixture of basic research in statistical signal processing and new application areas has been fruitful and we plan to continue in the same spirit.
