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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

    This result is known as the Shannon–Hartley theorem. [11] When the SNR is large (SNR ≫ 0 dB), the capacity ⁡ ¯ is logarithmic in power and approximately linear in bandwidth. This is called the bandwidth-limited regime.

  4. Shannon's law - Wikipedia

    en.wikipedia.org/wiki/Shannon's_law

    Shannon–Hartley theorem, which establishes the theoretical maximum rate at which data can be reliably transmitted over a noisy channel Shannon's law (Arizona) , a law against the firing of gunshots into the air, established after 14-year-old Shannon Smith was killed by a stray bullet in 1999

  5. Shannon–Hartley law - Wikipedia

    en.wikipedia.org/?title=ShannonHartley_law...

    This page was last edited on 1 September 2006, at 05:51 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may apply.

  6. Eb/N0 - Wikipedia

    en.wikipedia.org/wiki/Eb/N0

    The Shannon–Hartley theorem says that the limit of reliable information rate (data rate exclusive of error-correcting codes) of a channel depends on bandwidth and signal-to-noise ratio according to: < ⁡ (+) where

  7. Signal-to-noise ratio - Wikipedia

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

    This relationship is described by the Shannon–Hartley 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.