Introduction To Coding And Information Theory Steven Roman ★ Must Try

Think of entropy as the "randomness temperature." High entropy (like white noise or scrambled text) means high information density. Low entropy (like a repeating loop of silence or a predictable string of zeroes) means you can compress it down to almost nothing. Coding Theory: The Art of Reliable Imperfection If information theory is about efficiency , coding theory is about survival .

[ h(x) = -\log_2(p) ]

In Shannon’s world,

Entropy is the average amount of information produced by a source. It is also the minimum number of bits required, on average, to encode the source without losing any information. Introduction To Coding And Information Theory Steven Roman