RUS  ENG
Full version
JOURNALS // Numerical methods and programming // Archive

Num. Meth. Prog., 2005 Volume 6, Issue 1, Pages 35–42 (Mi vmp627)

This article is cited in 1 paper

Wavelet differentiation of noisy signals

I. A. Patrikeev, R. A. Stepanov, P. G. Frick

Institute of Continuous Media Mechanics UB RAS, Perm

Abstract: 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, noise filtration, regularization.

UDC: 621.372



© Steklov Math. Inst. of RAS, 2024