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Random noise theory
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An innovation approach to random fields : application of white noise theory
.
by
Hida, Takeyuki, 1927-
; Singapore: World Scientific, 2004.
Subject:
Stochastic analysis
;
Random fields
;
Random noise theory
.
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Relevance: 25.24%
Improved classification of noisy microscopic images by a neural network with principal component projections as inputs
.
by
Soriano, Maricor Narvaez, 1970-
;
Subject:
Principal components analysis
;
Image processing -- Digital techniques
;
Neural networks (Neurobiology)
;
Nuclear reactors -- Noise
;
Random noise theory
.
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Relevance: 24.01%
Modulation, noise, and spectral analysis : applied to information transmission
.
by
Panter, Philip F.
; New York: McGraw-Hill, 1965.
Subject:
Modulation theory
;
Random noise theory
;
Statistical communication theory
.
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Relevance: 23.21%
Linear data-smoothing and prediction in theory and practice _ Title: Data-smoothing and prediction
.
by
Blackman, Ralph Beebe, 1904-
; Reading, Mass.: Addison_Wesley Pub., 1965.
Subject:
Digital filters
;
Random noise theory
;
Errors, Theory of
.
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Relevance: 22.89%
On the numerical simulation of nonstationary random processes
.
by
Shinozuka, M.
; New York: Columbia University, Dept. of Civil Engineering and Engineering Mechanics, 1966.
Subject:
Random noise theory
.
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Relevance: 22.70%
Signal detection theory
.
by
Hancock, John C.
; New York: McGraw-Hill, 1966.
Subject:
Random noise theory
;
Statistical communication theory
.
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Relevance: 22.58%
Noise trading and exchange rate regimes
.
by
Jeanne, Olivier.
; Cambridge: National Bureau of Economic Research, 1999.
Subject:
Foreign exchange -- Econometric models
;
Random noise theory
.
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Relevance: 21.74%
Detection of signals in noise
.
by
Whalen, Anthony D.
; San Diego: Academic Press, 1995.
Subject:
Random noise theory
;
Signal detection
;
Signal processing -- Digital techniques
;
Signal processing -- Statistical methods
.
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Relevance: 17.86%
Introduction to random signals and applied Kalman filtering : with MATLAB exercises and solutions
.
by
Brown, Robert Grover
; New York: Wiley, 1997.
Subject:
Signal processing -- Data processing
;
Kalman filtering -- Data processing
;
MATLAB
;
Random noise theory
.
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Relevance: 17.75%
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