Geodesic
Wavelet differentiation of noisy signals
Numerical methods and programming, Tome 6 (2005) no. 1, pp. 35-42

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Several algorithms for differentiating noisy signals are considered. The wavelet-based technique proposed is compared with others based on the Fourier transform and the finite difference method. Accuracy of calculations for various algorithms is estimated with the use of two model examples.
Keywords: wavelet, differentiation, regularization.
Mots-clés : noise filtration 
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     author = {I. A. Patrikeev and R. A. Stepanov and P. G. Frick},
     title = {Wavelet differentiation of noisy signals},
     journal = {Numerical methods and programming},
     pages = {35--42},
     publisher = {mathdoc},
     volume = {6},
     number = {1},
     year = {2005},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VMP_2005_6_1_a4/}
}
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I. A. Patrikeev; R. A. Stepanov; P. G. Frick. Wavelet differentiation of noisy signals. Numerical methods and programming, Tome 6 (2005) no. 1, pp. 35-42. http://geodesic.mathdoc.fr/item/VMP_2005_6_1_a4/