Nonparametric estimation of non-stationary velocity fields from 3D particle tracking velocimetry data

Publication year: 2011 Source: Computational Statistics & Data Analysis, Available online 8 October 2011 Michael Kohler, Adam Krzyżak Nonparametric estimation of nonstationary velocity fields from 3D particle tracking velocimetry data is considered. The velocities of tracer particles are computed from their positions measured experimentally with random errors by high-speed cameras observing turbulent flows in fluids. Thus captured discrete data is plugged into a smoothing spline estimate which is used to estimate the velocity field at arbitrary points

Publication year: 2011 Source: Computational Statistics & Data Analysis, Available online 8 October 2011 Michael Kohler, Adam Krzyżak Nonparametric estimation of nonstationary velocity fields from 3D particle tracking velocimetry data is considered. The velocities of tracer particles are computed from their positions measured experimentally with random errors by high-speed cameras observing turbulent flows in fluids. Thus captured discrete data is plugged into a smoothing spline estimate which is used to estimate the velocity field at arbitrary points

Continue reading here:
Nonparametric estimation of non-stationary velocity fields from 3D particle tracking velocimetry data