METHOD FOR NUMERICAL DIFFERENTIATION OF NOISY DATA WITH OUTLIERS
نویسندگان
چکیده
منابع مشابه
Methods for Numerical Differentiation of Noisy Data
We describe several methods for the numerical approximation of a first derivative of a smooth real-valued univariate function for which only discrete noise-contaminated data values are given. The methods allow for both uniformly distributed and non-uniformly distributed abscissae. They are compared for accuracy on artificial data sets constructed by adding Gaussian noise to simple test function...
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ژورنال
عنوان ژورنال: Radio Electronics, Computer Science, Control
سال: 2017
ISSN: 2313-688X,1607-3274
DOI: 10.15588/1607-3274-2017-3-5