基于不兼容测试数据集的确定性向量聚类压缩

Grzegorz Mrugalski, N. Mukherjee, J. Rajski, Dariusz Czysz, J. Tyszer
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引用次数: 29

摘要

所提出的压缩方案是一种基于确定性向量聚类的新颖解决方案,在一个片上解码系统中包含三个数据约简特征。该方法保留了连续流解压的所有优点,并提供了1000倍的压缩比,编码效率远高于1.00。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Compression based on deterministic vector clustering of incompatible test cubes
The presented compression scheme is a novel solution that is based on deterministic vector clustering and encompasses three data reduction features in one on-chip decoding system. The approach preserves all benefits of continuous flow decompression and offers compression ratios of order 1000x with encoding efficiency much higher than 1.00.
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