Many information sources are not just sequences of distinguishable symbols but rather have invariances governed by alternative counting paradigms such as permutations, combinations, and partitions. We consider an entire classification of these invariances called the twelvefold way in enumerative combinatorics and develop a method to characterize lossless compression limits. Explicit computations for all twelve settings are carried out for i.i.d. uniform and Bernoulli distributions. Comparisons among settings provide quantitative insight.
翻译:许多信息来源不仅是可辨别符号的序列,而是由替代计数模式(如变相、组合和分区)所调节的不一致性。我们考虑将这些变量完全分类为数字组合式组合法中的十二倍,并开发一种方法来说明无损压缩限制的特性。所有十二种设置都为i.d. 统一和Bernoulli分布进行了明确的计算。各种设置之间的比较提供了量化的洞察力。