Näytetään 1 - 10 yhteensä 10 tuloksesta haulle '"Random noise theory."', hakuaika: 0,01s Tarkenna hakua
  1. 1

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

    Julkaistu 2016
    Kirja

    A signal theoretic introduction to random processes
  2. 2

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

    Julkaistu 2004
    Kirja

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

    Noise trading and exchange rate regimes Tekijä Jeanne, Olivier

    Julkaistu 1999
    Kirja

    Noise trading and exchange rate regimes
  4. 4

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

    Julkaistu 1997
    Kirja

    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 Tekijä Brown, Robert Grover

    Julkaistu 1997
    Kirja

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

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

    Julkaistu 1995
    Kirja

    Detection of signals in noise
  7. 7

    Signal detection theory Tekijä Hancock, John C.

    Julkaistu 1966
    Kirja

    Signal detection theory
  8. 8

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

    Julkaistu 1965
    Kirja

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

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

    Julkaistu 1965
    Kirja

    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 Tekijä Soriano, Maricor Narvaez 1970-

    Opinnäyte

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

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