Noisy-channel coding theorem: Difference between revisions

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Added definition of binary entropy
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::<math>R(p_b) = \frac{C}{1-H_2(p_b)} .</math>
 
:and <math>H_2(p_b)</math> is the ''binary entropy function''
 
::<math>H_2(p_b)=p_b \log(\frac{1}{p_b}) + (1-p_b) \log(\frac{1}{1-p_b})</math>
 
:3. For any ''p<sub>b</sub>'', rates greater than ''R(p<sub>b</sub>)'' are not achievable.