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Geometric source coding and vector quantization

机译:几何源编码和矢量量化

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摘要

A geometric formulation is presented for source coding and vector quantizer design. Motivated by the asymptotic equipartition principle, the authors consider two broad classes of source codes and vector quantizers: elliptical codes and quantizers based on the Gaussian density function, and pyramid codes and quantizers based on the Laplacian density function. Elliptical and weighted pyramid vector quantizers are developed by selecting codewords as points in a lattice that lie on (or near) a specified ellipse or pyramid. The combination of geometric structure and lattice basis allows simple encoding and decoding algorithms.
机译:提出了用于源代码编码和矢量量化器设计的几何公式​​。基于渐近均分原理,作者考虑了两大类源代码和矢量量化器:基于高斯密度函数的椭圆代码和量化器,以及基于拉普拉斯密度函数的金字塔代码和量化器。椭圆和加权金字塔矢量量化器是通过选择码字作为位于指定椭圆或金字塔上(或附近)的点阵中的点来开发的。几何结构和晶格基础的组合允许简单的编码和解码算法。

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