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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. Multiple frequency-shift keying - Wikipedia

    en.wikipedia.org/wiki/Multiple_frequency-shift...

    "XPA" and "XPA2" are ENIGMA-2000 [11] designations for polytonic transmissions, reportedly originating from Russian Intelligence and Foreign Ministry stations. [12] [13] Recently the system was also described as "MFSK-20".

  7. Type I and type II errors - Wikipedia

    en.wikipedia.org/wiki/Type_I_and_type_II_errors

    The probability of type I errors is called the "false reject rate" (FRR) or false non-match rate (FNMR), while the probability of type II errors is called the "false accept rate" (FAR) or false match rate (FMR). If the system is designed to rarely match suspects then the probability of type II errors can be called the "false alarm rate". On the ...

  8. Minimum-shift keying - Wikipedia

    en.wikipedia.org/wiki/Minimum-shift_keying

    In digital modulation, minimum-shift keying (MSK) is a type of continuous-phase frequency-shift keying that was developed in the late 1950s by Collins Radio employees Melvin L. Doelz and Earl T. Heald. [1]

  9. 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") .