Signal Processing and Communications

The Signal Processing and Communications subgroup contains a collection of research more loosely related to the multimedia focus of the rest of the group. Students in this group work on a series of digital/statistical signal processing, pattern recognition, and machine learning techniques used to solve wide-ranging problems within related engineering disciplines. Previous work done in the subgroup has included:




  • Perception of Music: music onset and beat detection, music segmentation, instrument classification
  • Multimedia Security: watermarking, data hiding
  • Blind Source Separation: the separation of speech and music, separation of different sounds in music

    • Current research interests additionally include time-series signal processing and network communications.

    Subgroup Members
    Martin Gawecki Jasmine Wang
    Research Descriptions