Zobrazuji výsledky 1 - 10 z 10 pro vyhledávání '"Random noise theory."', doba hledání: 0,02 s. Upřesnit hledání
  1. 1

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

    Vydáno 2016
    Kniha

    A signal theoretic introduction to random processes
  2. 2

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

    Vydáno 2004
    Kniha

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

    Noise trading and exchange rate regimes Autor Jeanne, Olivier

    Vydáno 1999
    Kniha

    Noise trading and exchange rate regimes
  4. 4

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

    Vydáno 1997
    Kniha

    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 Autor Brown, Robert Grover

    Vydáno 1997
    Kniha

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

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

    Vydáno 1995
    Kniha

    Detection of signals in noise
  7. 7

    Signal detection theory Autor Hancock, John C.

    Vydáno 1966
    Kniha

    Signal detection theory
  8. 8

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

    Vydáno 1965
    Kniha

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

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

    Vydáno 1965
    Kniha

    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 Autor Soriano, Maricor Narvaez 1970-

    Diplomová práce

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

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