Kollmeier (coordinating), Hein, Duifhuis, Mellert, Mertins, Roerdink, ter Horst, van Dijk 

The application of methods, knowledge and models from the areas a) and b) into technical applications (including functional imaging of neurosensory systems) was the main common research goal of the contributing applicants that were based in biomedical physics, engineering and computer science. Knowledge from the applications was fed back to the respective other two research areas in order to improve the underlying models or to test new processing principles that may have proven advantageous in the application domain. In the context of the InterGK, applications were dealt with that primarily originated from the acoustical domain (i.e., sound and speech quality, speech recognition and acoustical noise reduction, active noise cancellation for fMRI noise), but also extended to the vibration domain (i.e., haptic feedback for interactive robotic systems) and to general systems for neurosensory processing (such as, e.g. improvement of fMRI imaging and analysis techniques, blind source segregation, augmented reality). Hence, the dissertation projects were ordered with respect to the headings "sound and speech quality", "Neurosensory model-based signal processing", "Augmented reality", and "Functional MR imaging".