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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. Shannon–Hartley theorem - Wikipedia

    en.wikipedia.org/wiki/Shannon–Hartley_theorem

    The concept of an error-free capacity awaited Claude Shannon, who built on Hartley's observations about a logarithmic measure of information and Nyquist's observations about the effect of bandwidth limitations. Hartley's rate result can be viewed as the capacity of an errorless M-ary channel of symbols per second. Some authors refer to it as a ...

  5. Binary symmetric channel - Wikipedia

    en.wikipedia.org/wiki/Binary_symmetric_channel

    8 Notes. 9 References. ... Download as PDF; Printable version; In other projects ... Graph showing the proportion of a channel’s capacity (y-axis) ...

  6. Channel state information - Wikipedia

    en.wikipedia.org/wiki/Channel_state_information

    In wireless communications, channel state information (CSI) is the known channel properties of a communication link. This information describes how a signal propagates from the transmitter to the receiver and represents the combined effect of, for example, scattering, fading, and power decay with distance. The method is called channel estimation.

  7. Outage probability - Wikipedia

    en.wikipedia.org/wiki/Outage_probability

    For example, the channel capacity for slow-fading channel is C = log 2 (1 + h 2 SNR), where h is the fading coefficient and SNR is a signal to noise ratio without fading. As C is random, no constant rate is available. There may be a chance that information rate may go below to required threshold level.

  8. Quantum capacity - Wikipedia

    en.wikipedia.org/wiki/Quantum_capacity

    The LSD theorem states that the coherent information of a quantum channel is an achievable rate for reliable quantum communication. For a Pauli channel , the coherent information has a simple form [ citation needed ] and the proof that it is achievable is particularly simple as well.

  9. Shannon capacity - Wikipedia

    en.wikipedia.org/wiki/Shannon_capacity

    Download as PDF; Printable version; In other projects Wikidata item; ... Shannon capacity may mean Channel capacity, the capacity of a channel in ...