Explore: Channel Capacity

over a communication channel. Following the terms of the noisy-channel coding theorem, the channel capacity of a given channel is the highest information

continuous-time analog communications channel subject to Gaussian noise. The theorem establishes Shannon's channel capacity for such a communication link, a

Shannon capacity of a communication channel refers to the maximum rate of error-free data that can theoretically be transferred over the channel if the

can be transmitted at any rate up to the channel capacity with arbitrarily low error. The channel capacity is 1 − H b ⁡ ( p ) {\displaystyle 1-\operatorname

{\displaystyle P} represents the maximum channel power. Therefore, the channel capacity for the power-constrained channel is given by:[clarification needed]

other important measures in information theory are mutual information, channel capacity, error exponents, and relative entropy. Important sub-fields of information

ideal channel denoted by the same symbol. We can now state some fundamental channel capacities. The channel capacity of the classical ideal channel C m

in the case of the P, public-access television, the facilities and channel capacity are uncurated free-speech zones available to anyone for free or little

rated voltage Data storage capacity, amount of stored information that a storage device or medium can hold Channel capacity, the highest rate at which

We also know from Shannon's channel coding theorem that if the source entropy is H bits/symbol, and the channel capacity is C (where C < H {\displaystyle