Towards understanding and improving escape probabilities in PPM

J. Åberg, Y. Shtarkov, B. Smeets
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引用次数: 10

Abstract

The choice of expressions for the coding probabilities in general, and the escape probability in particular, is of great importance in the family of prediction by partial matching (PPM) algorithms. We present a parameterized version of the escape probability estimator which, together with a "compactness" criterion, provides guidelines for the estimator design given a "representative" set of files. This parameterization also makes it possible to adapt the expression of the escape probability during one-pass coding. Finally, we present results for one such compression scheme that illustrates the usefulness of our approach.
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致力于理解和提高PPM中的逃逸概率
在部分匹配(PPM)算法的预测中,编码概率表达式的选择,特别是逃逸概率表达式的选择是非常重要的。我们提出了一个参数化版本的转义概率估计器,它与“紧凑性”准则一起,为给定一组“代表性”文件的估计器设计提供了指导方针。这种参数化也使得在一遍编码过程中适应转义概率的表达式成为可能。最后,我们给出了一个这样的压缩方案的结果,说明了我们的方法的有用性。
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