PyDynamic - Analysis of dynamic measurements

PyDynamic is a Python software package developed jointly by mathematicians from Physikalisch-Technische Bundesanstalt (Germany) and National Physical Laboratory (UK) as part of the joint European Research Project EMPIR 14SIP08 Dynamic.

For the PyDynamic homepage go to GitHub

PyDynamic is written in Python 3.5.


Indices and tables


[Eichst2016]S. Eichstädt und V. Wilkens GUM2DFT — a software tool for uncertainty evaluation of transient signals in the frequency domain. Meas. Sci. Technol., 27(5), 055001, 2016.
[Eichst2012]S. Eichstädt, A. Link, P. M. Harris and C. Elster Efficient implementation of a Monte Carlo method for uncertainty evaluation in dynamic measurements Metrologia, vol 49(3), 401
[Eichst2010]S. Eichstädt, C. Elster, T. J. Esward and J. P. Hessling Deconvolution filters for the analysis of dynamic measurement processes: a tutorial Metrologia, vol. 47, nr. 5
[Elster2008]C. Elster and A. Link Uncertainty evaluation for dynamic measurements modelled by a linear time-invariant system Metrologia, vol 45 464-473, 2008
[Link2009]A. Link and C. Elster Uncertainty evaluation for IIR filtering using a state-space approach Meas. Sci. Technol. vol. 20, 2009
[Vuer1996]R. Vuerinckx, Y. Rolain, J. Schoukens and R. Pintelon Design of stable IIR filters in the complex domain by automatic delay selection IEEE Trans. Signal Proc., 44, 2339-44, 1996
[Smith]Smith, J.O. Introduction to Digital Filters with Audio Applications,, online book
[Savitzky]A. Savitzky, M. J. E. Golay, Smoothing and Differentiation of Data by Simplified Least Squares Procedures. Analytical Chemistry, 1964, 36 (8), pp 1627-1639.
[NumRec]Numerical Recipes 3rd Edition: The Art of Scientific Computing W.H. Press, S.A. Teukolsky, W.T. Vetterling, B.P. Flannery Cambridge University Press ISBN-13: 9780521880688