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| | Signal Compression and Classification Group |
 | | Stanford University 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. |
 | | Image Compression, Classification, and Universal Coding, transparencies for an invited talk at the Erlangen Workshop on Advances in Digital Image Communication, University of Erlangen/Nuremburg, 25 April 1997. |
 | | Lossy Compressed Medical Images and Measurement Accuracy, Sharon M. Perlmutter, Pamela C. Cosman, Chien-Wen Tseng, Richard A. Olshen, and Robert M. Gray, King C. Li, and Colleen J. Bergin. |
| www-ee.stanford.edu /~gray/compression.html (988 words) |
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