Simply Instrumentable and Optimal Digitization of Analog Information Sources.
Annual rept. 30 Jun 82-29 Jun 83,
RENSSELAER POLYTECHNIC INST TROY NY DEPT OF ELECTRICAL COMPUTER AND SYSTEMS ENGINEERING
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This document reports progress on Simply Instrumentable and Optimal Digitization of Analog Information Sources. New techniques for encoding sources with and without memory are described in Section 1 and the papers, presentations, and theses supported by the research are listed in Section 2. Three new optimal coding methods, generalizing previous ones, have been discovered for stationary Gaussian sources and the squared-error distortion measure. These methods, which store codewords on trees and trellises and utilize systematic search algorithms, are being applied to actual speech and image data. Also, the code storage requirements are not large, as this research has shown that small code letter alphabets give nearly optimal results. Authors