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  2. Channel capacity - Wikipedia

    en.wikipedia.org/wiki/Channel_capacity

    To determine the channel capacity, it is necessary to find the capacity-achieving distribution () and evaluate the mutual information (;). Research has mostly focused on studying additive noise channels under certain power constraints and noise distributions, as analytical methods are not feasible in the majority of other scenarios.

  3. Noisy-channel coding theorem - Wikipedia

    en.wikipedia.org/wiki/Noisy-channel_coding_theorem

    The channel capacity can be calculated from the physical properties of a channel; for a band-limited channel with Gaussian noise, using the Shannon–Hartley theorem. Simple schemes such as "send the message 3 times and use a best 2 out of 3 voting scheme if the copies differ" are inefficient error-correction methods, unable to asymptotically ...

  4. List of Cambridge International Examinations Advanced Level ...

    en.wikipedia.org/wiki/List_of_Cambridge...

    Notes CIE 8001: General Paper: AS Level only CIE 8004: General Paper: AS Level only CIE 8024 Nepal Studies: AS Level only [1] CIE 8041: Divinity: AS Level only CIE 8053: Islamic Studies: AS Level only CIE 8058: Hinduism: AS Level only CIE 8274: Language and Literature in English (US) available in the US only under the BES pilot; AS Level only ...

  5. Shannon–Hartley theorem - Wikipedia

    en.wikipedia.org/wiki/Shannon–Hartley_theorem

    What is the channel capacity for a signal having a 1 MHz bandwidth, received with a SNR of −30 dB ? That means a signal deeply buried in noise. −30 dB means a S/N = 10 −3 . It leads to a maximal rate of information of 10 6 log 2 (1 + 10 −3 ) = 1443 bit/s.

  6. Blahut–Arimoto algorithm - Wikipedia

    en.wikipedia.org/wiki/Blahut–Arimoto_algorithm

    For the case of channel capacity, the algorithm was independently invented by Suguru Arimoto [1] and Richard Blahut. [2] In addition, Blahut's treatment gives algorithms for computing rate distortion and generalized capacity with input contraints (i.e. the capacity-cost function, analogous to rate-distortion). These algorithms are most ...

  7. Coding theory - Wikipedia

    en.wikipedia.org/wiki/Coding_theory

    the mutual information, and the channel capacity of a noisy channel, including the promise of perfect loss-free communication given by the noisy-channel coding theorem; the practical result of the Shannon–Hartley law for the channel capacity of a Gaussian channel; and of course; the bit - a new way of seeing the most fundamental unit of ...

  8. Potassium channel - Wikipedia

    en.wikipedia.org/wiki/Potassium_channel

    The flux of ions through the potassium channel pore is regulated by two related processes, termed gating and inactivation. Gating is the opening or closing of the channel in response to stimuli, while inactivation is the rapid cessation of current from an open potassium channel and the suppression of the channel's ability to resume conducting.

  9. BK channel - Wikipedia

    en.wikipedia.org/wiki/BK_channel

    This modulation of synaptic transmission and electrical discharge at the cellular level is due to BK channel expression in conjunction with other potassium-calcium channels. [10] The opening of these channels causes a drive towards the potassium equilibrium potential and thus play a role in speeding up the repolarization of action potentials ...