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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

    The feedback capacity is known as a closed-form expression only for several examples such as the trapdoor channel, [14] Ising channel, [15] [16]. For some other channels, it is characterized through constant-size optimization problems such as the binary erasure channel with a no-consecutive-ones input constraint [ 17 ] , NOST channel [ 18 ] .

  4. Shannon–Hartley law - Wikipedia

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

    Print/export Download as PDF; Printable version; In other projects ... Redirect page. Redirect to: ShannonHartley theorem; Retrieved from "https: ...

  5. Category:Mathematical theorems in theoretical computer ...

    en.wikipedia.org/wiki/Category:Mathematical...

    Download as PDF; Printable version; In other projects Wikidata item; Appearance. move to sidebar hide. Help ... ShannonHartley theorem; Shannon's source coding theorem

  6. 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 ...

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  8. Template:Information theory - Wikipedia

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    Download as PDF; Printable version; In other projects Wikidata item; Appearance. move to sidebar hide ... ShannonHartley theorem; Template documentation This page ...

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