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  2. Probability of error - Wikipedia

    en.wikipedia.org/wiki/Probability_of_error

    This statistics -related article is a stub. You can help Wikipedia by expanding it.

  3. Frequency-shift keying - Wikipedia

    en.wikipedia.org/wiki/Frequency-shift_keying

    An example of binary FSK. Frequency-shift keying (FSK) is a frequency modulation scheme in which digital information is encoded on a carrier signal by periodically shifting the frequency of the carrier between several discrete frequencies. [1]

  4. Bit error rate - Wikipedia

    en.wikipedia.org/wiki/Bit_error_rate

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  5. 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

  6. Coding gain - Wikipedia

    en.wikipedia.org/wiki/Coding_gain

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  7. Binary erasure channel - Wikipedia

    en.wikipedia.org/wiki/Binary_erasure_channel

    The probability of erasure is In coding theory and information theory , a binary erasure channel ( BEC ) is a communications channel model. A transmitter sends a bit (a zero or a one), and the receiver either receives the bit correctly, or with some probability P e {\displaystyle P_{e}} receives a message that the bit was not received ("erased") .

  8. Fano's inequality - Wikipedia

    en.wikipedia.org/wiki/Fano's_inequality

    Fano's inequality can be interpreted as a way of dividing the uncertainty of a conditional distribution into two questions given an arbitrary predictor. The first question, corresponding to the term (), relates to the uncertainty of the predictor.

  9. Binary symmetric channel - Wikipedia

    en.wikipedia.org/wiki/Binary_symmetric_channel

    It therefore suffices to exhibit an input distribution that yields a uniform probability distribution for the output . For this, note that it is a property of any binary symmetric channel that a uniform probability distribution of the input results in a uniform probability distribution of the output.