ASPIRE focused on developing and advancing our knowledge on distributed and hierarchical signal processing for addressing inference, communication, and adaptation issues in WSN operating in adverse, noisy environments. We conducted basic research in real-time decentralized information processing with an emphasis in non-Gaussian multidimensional signal detection, estimation, classification, communication, and fusion. Our goal approach was to make advances in understanding the distributed signal acquisition and representation problem, in developing distributed compression techniques for sensor array data and joint source-channel coding techniques for transmitting such data over uncertain, power-limited wireless networks.
In applied research, the proposed project made an effort to test the developed theory and heuristics in the development of multichannel audio compression and transmission methodologies for the creation of high-quality immersive multimedia environments. Both the theoretical and applied components of our proposed work required extensive interdisciplinary collaboration with other established laboratories and institutes both locally at FORTH and internationally in Europe and in the US.
During the period 2006-2010, the ASPIRE Group has been active and productive in original research in the following major axes: