Imagine a coin that is weighted to land on heads 99% of the time. If you flip it and it lands on heads, you aren't surprised. The information "it is heads" carries very little value. However, if it lands on tails, that event carries immense "information" because it was highly improbable.
The amount of information contained in a single message. Entropy ( information theory and coding by giridhar pdf
(Channel Coding) 2. Core Concepts Covered in Giridhar’s Text Imagine a coin that is weighted to land
: Discusses discrete and continuous channels, mutual information, and the Shannon-Hartley theorem (channel capacity). However, if it lands on tails, that event
In the crowded library of engineering textbooks, few subjects are as notoriously abstract as Information Theory. For decades, students have approached the subject with a mix of awe and terror—awe at the mathematical elegance of Claude Shannon’s 1948 paper, and terror at the dense probability theory that underpins it.
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