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Shannon's Formula and Hartley's Rule: A Mathematical Coincidence?

机译:香农的公式和哈特利的规则:数学巧合?

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Shannon's formula C = 1/2 log( 1+P/N) is the emblematic expression for the information capacity of a communication channel. Hartley's name is often associated with it, owing to Hartley's rule: counting the highest possible number of distinguishable values for a given amplitude A and precision ±Δ yields a similar expression C = log(1 +A/Δ). In the information theory community. the following "historical" statements are generally well accepted: (1) Hartley put forth his rule twenty years before Shannon; (2) Shannon's formula as a fundamental tradeoff between transmission rate, bandwidth, and signal-to-noise ratio came unexpected in 1948; (3) Hartley's rule is an imprecise relation while Shannon's formula is exact; (4) Hartley's expression is not an appropriate formula for the capacity of a communication channel. We show that all these four statements are questionable, if not wrong.
机译:Shannon的公式C = 1/2日志(1 + P / N)是通信通道信息容量的标志性表达式。由于Hartley的规则,Hartley的名称通常与它相关联:计算给定幅度A和精度±Δ的最高可能数量的可区分值产生类似的表达式C = log(1 + a /Δ)。在信息理论界。以下“历史”陈述通常被广泛接受:(1)哈特利在香农之前提出了他的二十年; (2)Shannon的公式作为传输速率,带宽和信噪比之间的基本权衡意外,在1948年出乎意料; (3)Hartley的规则是一个不精确的关系,而Shannon的公式精确; (4)哈特利的表达不是通信渠道的能力的适当公式。我们展示所有这四个陈述都是值得怀疑的,如果没有错误。

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