Signal processing is the analysis and transformation of signals -- measurements taken over time and/or space -- in order to better understand, simplify, or recast their structure. Rice has a long history in digital signal processing (DSP) dating back to its inception in the late 1960s. Current research spans a wide range of areas, including image and video analysis, representation, and compression; wavelets and multiscale methods; statistical signal processing, pattern recognition, and learning theory; distributed signal processing and sensor networks; communication systems; computational neuroscience; and wireless networking. Machine Learning is a large part of our Systems Research.
Aazhang, Antoulas, Baraniuk, Cavallaro, Heckel, Frantz, Knightly, Orchard, Patel, Sabharwal, Simar, Veeraraghavan