In electrical engineering, computer science and information theory, channel capacity is the tightest upper bound on the amount of information that can be reliably transmitted over a communications channel. By the noisy-channel coding theorem, the channel capacity of a given channel is the limiting information rate (in units of information per unit time) that can be achieved with arbitrarily small error probability.
Information theory, developed by Claude E. Shannon during World War II, defines the notion of channel capacity and provides a mathematical model by which one can compute it. The key result states that the capacity of the channel, as defined above, is given by the maximum of the mutual information between the input and output of the channel, where the maximization is with respect to the input distribution.
Read more about Channel Capacity: Formal Definition, Noisy-channel Coding Theorem, Example Application, Channel Capacity in Wireless Communications
Famous quotes containing the words channel and/or capacity:
“The Xanthus or Scamander is not a mere dry channel and bed of a mountain torrent, but fed by the ever-flowing springs of fame ... and I trust that I may be allowed to associate our muddy but much abused Concord River with the most famous in history.”
—Henry David Thoreau (1817–1862)
“... the majority of colored men do not yet think it worth while that women aspire to higher education.... The three R’s, a little music and a good deal of dancing, a first rate dress-maker and a bottle of magnolia balm, are quite enough generally to render charming any woman possessed of tact and the capacity for worshipping masculinity.”
—Anna Julia Cooper (1859–1964)