caa a22 4500 606197265 CHVBK 20210128100928.0 cr unu---uuuuu 210128e20150601xx s 000 0 eng 10.1007/s00348-015-1986-7 doi (NATIONALLICENCE)springer-10.1007/s00348-015-1986-7 Autonomous spatially adaptive sampling in experiments based on curvature, statistical error and sample spacing with applications in LDA measurements [Elektronische Daten] [Raf Theunissen, Jesse Kadosh, Christian Allen] Spatially varying signals are typically sampled by collecting uniformly spaced samples irrespective of the signal content. For signals with inhomogeneous information content, this leads to unnecessarily dense sampling in regions of low interest or insufficient sample density at important features, or both. A new adaptive sampling technique is presented directing sample collection in proportion to local information content, capturing adequately the short-period features while sparsely sampling less dynamic regions. The proposed method incorporates a data-adapted sampling strategy on the basis of signal curvature, sample space-filling, variable experimental uncertainty and iterative improvement. Numerical assessment has indicated a reduction in the number of samples required to achieve a predefined uncertainty level overall while improving local accuracy for important features. The potential of the proposed method has been further demonstrated on the basis of Laser Doppler Anemometry experiments examining the wake behind a NACA0012 airfoil and the boundary layer characterisation of a flat plate. Springer-Verlag Berlin Heidelberg, 2015 Theunissen Raf Department of Aerospace Engineering, University of Bristol, Bristol, UK aut Kadosh Jesse Department of Aerospace Engineering, University of Bristol, Bristol, UK aut Allen Christian Department of Aerospace Engineering, University of Bristol, Bristol, UK aut Experiments in Fluids Springer Berlin Heidelberg 56/6(2015-06-01), 1-18 0723-4864 56:6<1 2015 56 348 https://doi.org/10.1007/s00348-015-1986-7 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00348-015-1986-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Theunissen Raf Department of Aerospace Engineering, University of Bristol, Bristol, UK aut NATIONALLICENCE 700 1- Kadosh Jesse Department of Aerospace Engineering, University of Bristol, Bristol, UK aut NATIONALLICENCE 700 1- Allen Christian Department of Aerospace Engineering, University of Bristol, Bristol, UK aut NATIONALLICENCE 773 0- Experiments in Fluids Springer Berlin Heidelberg 56/6(2015-06-01), 1-18 0723-4864 56:6<1 2015 56 348