153
个编辑
更改
跳到导航
跳到搜索
第13行：
第13行： − 在信息论中，有噪声信道编码定理（有时是香农定理或香农极限）确定了对于通信信道的任何给定程度的噪声污染，都有可能通过信道传输几乎无差错的离散数据（数字信息），从而达到可计算的最大速率。这个结果是由克劳德·香农在1948年提出的，部分基于哈利·奈奎斯特和拉尔夫·哈特利早期的工作和思想。+ 第55行：
第55行： − 信道容量C可以从信道的物理特性计算出来，对于带有高斯噪声的带限信道，可以使用香农-哈特莱定理。+
无编辑摘要
In information theory, the noisy-channel coding theorem (sometimes Shannon's theorem or Shannon's limit), establishes that for any given degree of noise contamination of a communication channel, it is possible to communicate discrete data (digital information) nearly error-free up to a computable maximum rate through the channel. This result was presented by Claude Shannon in 1948 and was based in part on earlier work and ideas of Harry Nyquist and Ralph Hartley.
In information theory, the noisy-channel coding theorem (sometimes Shannon's theorem or Shannon's limit), establishes that for any given degree of noise contamination of a communication channel, it is possible to communicate discrete data (digital information) nearly error-free up to a computable maximum rate through the channel. This result was presented by Claude Shannon in 1948 and was based in part on earlier work and ideas of Harry Nyquist and Ralph Hartley.
在信息论中，<font color="#ff8000">Noisy-channel coding theorem有噪声信道编码定理</font>（有时是香农定理或香农极限）确定了对于通信信道的任何给定程度的噪声污染，都有可能通过信道传输几乎无差错的离散数据（数字信息），从而达到可计算的最大速率。这个结果是由克劳德·香农在1948年提出的，部分基于哈利·奈奎斯特和拉尔夫·哈特利早期的工作和思想。
The channel capacity <math>C</math> can be calculated from the physical properties of a channel; for a band-limited channel with Gaussian noise, using the Shannon–Hartley theorem.
The channel capacity <math>C</math> can be calculated from the physical properties of a channel; for a band-limited channel with Gaussian noise, using the Shannon–Hartley theorem.
信道容量C可以从信道的物理特性计算出来，对于带有高斯噪声的带限信道，可以使用<font color="#ff8000"> Shannon–Hartley theorem香农-哈特莱定理</font>。