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  2. Shannon–Hartley theorem - Wikipedia

    en.wikipedia.org/wiki/Shannon–Hartley_theorem

    The theorem establishes Shannon's channel capacity for such a communication link, a bound on the maximum amount of error-free information per time unit that can be transmitted with a specified bandwidth in the presence of the noise interference, assuming that the signal power is bounded, and that the Gaussian noise process is characterized by a ...

  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 C ≈ W log 2 ⁡ P ¯ N 0 W {\displaystyle C\approx W\log _{2}{\frac {\bar {P}}{N_{0}W}}} is logarithmic in power and approximately linear in bandwidth.

  4. 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:

  5. Noisy-channel coding theorem - Wikipedia

    en.wikipedia.org/wiki/Noisy-channel_coding_theorem

    In information theory, the noisy-channel coding theorem (sometimes Shannon's theorem or Shannon's limit), establishes that for any given degree of noise contamination of a communication channel, it is possible (in theory) to communicate discrete data (digital information) nearly error-free up to a computable maximum rate through the channel.

  6. Entropy (information theory) - Wikipedia

    en.wikipedia.org/wiki/Entropy_(information_theory)

    The concept of information entropy was introduced by Claude Shannon in his 1948 paper "A Mathematical Theory of Communication", [2] [3] and is also referred to as Shannon entropy. Shannon's theory defines a data communication system composed of three elements: a source of data, a communication channel, and a receiver. The "fundamental problem ...

  7. Are the Chiefs the NFL's worst-ever 9-0 team? - AOL

    www.aol.com/sports/chiefs-nfls-worst-ever-9...

    “The thing that has impressed me with this team is that they don’t get down,” Chiefs head coach Andy Reid said Monday. “That’s not what they are.

  8. Whittaker–Shannon interpolation formula - Wikipedia

    en.wikipedia.org/wiki/Whittaker–Shannon...

    The Whittaker–Shannon interpolation formula or sinc interpolation is a method to construct a continuous-time bandlimited function from a sequence of real numbers. The formula dates back to the works of E. Borel in 1898, and E. T. Whittaker in 1915, and was cited from works of J. M. Whittaker in 1935, and in the formulation of the Nyquist–Shannon sampling theorem by Claude Shannon in 1949.

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