Visas 1 - 10 av 10 resultat för sökning '"Random noise theory."', Sökningstid: 0,02s Förfina resultatet
  1. 1

    A signal theoretic introduction to random processes av Howard, Roy M., author

    Publicerad 2016
    Bok

    A signal theoretic introduction to random processes
  2. 2

    An innovation approach to random fields application of white noise theory av Hida, Takeyuki 1927-

    Publicerad 2004
    Bok

    An innovation approach to random fields application of white noise theory
  3. 3

    Noise trading and exchange rate regimes av Jeanne, Olivier

    Publicerad 1999
    Bok

    Noise trading and exchange rate regimes
  4. 4

    Introduction to random signals and applied Kalman filtering with MATLAB exercises and solutions av Brown, Robert Grover

    Publicerad 1997
    Bok

    Introduction to random signals and applied Kalman filtering with MATLAB exercises and solutions
  5. 5

    Introduction to random signals and applied filtering with MATLAB exercises and solutions av Brown, Robert Grover

    Publicerad 1997
    Bok

    Introduction to random signals and applied filtering with MATLAB exercises and solutions
  6. 6

    Detection of signals in noise av McDonough, Robert N., Whalen, Anthony D.

    Publicerad 1995
    Bok

    Detection of signals in noise
  7. 7

    Signal detection theory av Hancock, John C.

    Publicerad 1966
    Bok

    Signal detection theory
  8. 8

    Modulation, noise, and spectral analysis applied to information transmission av Panter, Philip F.

    Publicerad 1965
    Bok

    Modulation, noise, and spectral analysis applied to information transmission
  9. 9

    Linear data-smoothing and prediction in theory and practice. av Blackman, Ralph Beebe 1904-

    Publicerad 1965
    Bok

    Linear data-smoothing and prediction in theory and practice.
  10. 10

    Improved classification of noisy microscopic images by a neural network with principal component projections as inputs av Soriano, Maricor Narvaez 1970-

    Lärdomsprov

    Improved classification of noisy microscopic images by a neural network with principal component projections as inputs

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