New coding theorems for fixed-length source coding and Shannon's cipher system with a general source

H. Koga
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引用次数: 3

Abstract

This paper is concerned with new coding theorems for (a) fixed-length coding of a general source, and (b) coding of Shannon's cipher system with a general source, under the condition that the decoding error probability vanishes as the blocklength goes to infinity. The converse theorems consist of inequalities that include the limit inferior in probability. In addition, the converse theorems are valid for the class of stochastic encoders. The direct theorems are proved under the assumptions that are slightly stronger than the consequences of the converse theorems. We can obtain known coding theorems from the obtained results.
固定长度源编码的新编码定理和具有一般源的香农密码系统
本文研究了(a)一般源的定长编码和(b)一般源的香农密码系统的编码,在解码错误概率随块长度趋于无穷而消失的条件下,新的编码定理。逆定理由不等式组成,这些不等式包含了概率下极限。此外,对随机编码器的性质也证明了逆定理的有效性。正定理是在比反定理的结果稍强一些的假设下证明的。我们可以从得到的结果中得到已知的编码定理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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