The Signal Compression and Classification Group is a research group in the Information Systems Laboratory, which is part of the Department of Electrical Engineering. The group resides in the Packard Electrical Engineering Building, and does research on the theory, algorithm design, simulation, and quality evaluation of systems for signal compression, quantization, source coding with a fidelity criterion, and classification. Related topics in signal processing are also considered, including enhancement, segmentation, regression, detection, estimation, prediction, video coding, and motion estimation. A common theme of the work is the interplay of compression and classification, especially of tree-structured algorithms and clustering for vector quantization for simultaneous compression and classification. Partial funding for the research conducted by the group during recent years has come from the National Science Foundation, Hewlet Packard, and SK Telecom.
Data Compression graphic courtesy Jim Storer, from the cover of his book Data Compression, Computer Science Press.