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Abstract: Lossy Compression of Scientific Data via Wavelets and Vector Quantization by Jill R. Goldschneider Chairperson of Supervisory Committee: Professor Eve A. Riskin Department of Electrical Engineering The high volume of scientific data to be collected from Earth Observing System instruments will require large transmission bandwidth and storage capabilities for archiving. Lossy compression techniques can be used to compress the data, although by definition the original data cannot be... (Update)
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BibTeX entry: (Update)
@misc{ goldschneider-lossy,
author = "Jill R. Goldschneider",
title = "Lossy Compression of Scientific Data via Wavelets and Vector Quantization",
url = "citeseer.ist.psu.edu/article/goldschneider97lossy.html" }
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