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The ability to learn about a stochastic process from noisy observations is fundamental to many applications. In order to track a dynamic process, typical knowledge representation is the state space model such as a linear Gauss Markov model, where efficient algorithms exist to perform state estimation under many different model assumptions. However, for meta level tracking, we are not only interested in the state estimation, but also temporal and structural classification of the process.

Synthetic attendance--immersive communications with people in a meeting happening afar--has been one of mankind's elusive dreams. The Exploratory DSP column of the IEEE Signal Processing Magazine (November 2009) discusses critical questions in immersive communications that are still awaiting resolution.

Ph.D. and post-doc positions are available to work on fluorescence microscopy related projects in joint research group with University of Texas at Dallas and UT Southwestern Medical Center at Dallas. The projects aim to develop novel imaging modalities, image processing and data analysis methods for fluorescence microscopy live cell experiments in particular single molecule detection.

The Sensor Array and Multichannel (SAM) Technical Committee addresses the areas of sensor array and multi-channel statistical signal processing, with main application areas focusing on radar, sonar, wireless communications, microphone array processing, navigation, seismology, radio astronomy, and biomedicine. At ICASSP 2009, the SAM TC collaborated with the SPTM and SPCOM TCs to organize a Thematic Symposium on Network Distributed Signal Processing; Harry Van Trees nominated by the SAM TC received SPS Technical Achievement Award. The SAM TC participated in its first TC review by the Signal Processing Society and adopted formal Bylaws.

The Machine Learning for Signal Processing Technical Committee (MLSP TC) is at the interface between theory and application, developing novel theoretically-inspired methodologies targeting both longstanding and emergent signal processing applications. A main TC-sponsored annual event is the IEEE Workshop on Machine Learning for Signal Processing. The Nineteenth MLSP Workshop was successfully held in September 2009 in the city of Grenoble, France, with picturesque views of mountains leading up to the Alps.

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