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  1. Following the terms of the noisy-channel coding theorem, the channel capacity of a given channel is the highest information rate (in units of information per unit time) that can be achieved with arbitrarily small error probability.

  2. The channel capacity Q(T, S) of T with respect to S is defined to be the supremum of all achievable rates. The quantum capacity is the special case Q T:= Q T, id 2, with id 2 being the ideal qubit channel.

  3. An important metric for measuring the performance of any communication channel is the information theoretic capacity. In a single-user MIMO channel, the capacity is the maximum amount of information that can be transmitted as a function of available bandwidth given a constraint on transmitted power.

  4. Channel capacity is a measure of maximum information per channel usage one can get through a channel. This one of the fundamental concepts in information theory.

  5. May 16, 2020 · In this video, we will explore What is Channel Capacity and how it works.Channel capacity is the brain's bandwidth on how much information or focus the brain...

  6. Dec 31, 2023 · Channel capacity, or “Channel Capacity” in information theory, is a pivotal concept. It is defined as the maximum rate at which information can be transmitted over a...

  7. Channel capacity is employed as the criterion to analyze the effects of the soil on data rates in the underground channel (Dong and Vuran, 2013a). In this section, we provide the analysis of the impact of soil moisture on the channel capacity in underground communications.

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