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  2. Shannon–Hartley theorem - Wikipedia

    en.wikipedia.org/wiki/ShannonHartley_theorem

    It connects Hartley's result with Shannon's channel capacity theorem in a form that is equivalent to specifying the M in Hartley's line rate formula in terms of a signal-to-noise ratio, but achieving reliability through error-correction coding rather than through reliably distinguishable pulse levels.

  3. Channel capacity - Wikipedia

    en.wikipedia.org/wiki/Channel_capacity

    ShannonHartley theorem; Channel capacity, in electrical engineering, computer science, and information theory, is the theoretical maximum rate at which ...

  4. 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 ShannonHartley 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 ...

  5. Information theory - Wikipedia

    en.wikipedia.org/wiki/Information_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 ShannonHartley law for the channel capacity of a Gaussian channel; as well as; the bit—a new way of seeing the most fundamental unit of information.

  6. Signal-to-noise ratio - Wikipedia

    en.wikipedia.org/wiki/Signal-to-noise_ratio

    This relationship is described by the ShannonHartley theorem, which is a fundamental law of information theory. SNR can be calculated using different formulas depending on how the signal and noise are measured and defined.

  7. A Mathematical Theory of Communication - Wikipedia

    en.wikipedia.org/wiki/A_Mathematical_Theory_of...

    Shannon's diagram of a general communications system, showing the process by which a message sent becomes the message received (possibly corrupted by noise) This work is known for introducing the concepts of channel capacity as well as the noisy channel coding theorem. Shannon's article laid out the basic elements of communication:

  8. Stochastic geometry models of wireless networks - Wikipedia

    en.wikipedia.org/wiki/Stochastic_geometry_models...

    In wired communication, the field of information theory (in particular, the ShannonHartley theorem) motivates the need for studying the signal-to-noise ratio (SNR). In a wireless communication, when a collection of channels is active at the same time, the interference from the other channels is considered as noise, which motivates the need ...

  9. Network throughput - Wikipedia

    en.wikipedia.org/wiki/Network_throughput

    The dominant equation here is the ShannonHartley theorem, and analog limitations of this type can be understood as factors that affect either the analog bandwidth of a signal or as factors that affect the signal-to-noise ratio. The bandwidth of wired systems can be in fact surprisingly narrow, with the bandwidth of Ethernet wire limited to ...