Enhancing estimation accuracy by applying cross-correlation image tracking to self-sensing including evaluation on a low saliency ratio machine

Author(s):  
Timothy S. Slininger ◽  
Yinghan Xu ◽  
Robert D. Lorenz
2002 ◽  
Vol 73 (2) ◽  
pp. 313-317 ◽  
Author(s):  
B. A. Mantooth ◽  
Z. J. Donhauser ◽  
K. F. Kelly ◽  
P. S. Weiss

2012 ◽  
Vol 508 ◽  
pp. 67-70
Author(s):  
Gang Yang ◽  
Wei Dong Li ◽  
Yu Tao Wang ◽  
Ming Yu Li

Cross correlation techniques have been proved to be a valuable tool for online continuous velocity measurement of particulate solids in pneumatic pipelines. In order to reduce computational complexity the sampling frequency is usually kept as low as possible, and the peak in the correlation function is found by interpolating the correlation function. Parabola functions are commonly used as parametric models of the cross correlation function in time delay estimation. However, the parabolic-fit interpolation method introduces a bias at low sampling rate to the center frequency ratio of input signal. In this paper, a combined interpolation method is proposed to improve the estimation accuracy. Experiments are carried out to evaluate the performance of the proposed interpolation method for low sampling rate. The experimental results have been promising and have shown the potential of the proposed method for particle flow velocity measurements.


2021 ◽  
Vol 111 ◽  
pp. 106269
Author(s):  
Sandra Beyer Gregersen ◽  
Zachary James Glover ◽  
Lars Wiking ◽  
Adam Cohen Simonsen ◽  
Karina Bertelsen ◽  
...  

Author(s):  
Timothy S. Slininger ◽  
Huthaifa Flieh ◽  
Robert D. Lorenz ◽  
Shao-Chuan Chien ◽  
Li-Hsing Ku

2008 ◽  
Vol 94 (12) ◽  
pp. 4996-5008 ◽  
Author(s):  
Raibatak Das ◽  
Stephanie Hammond ◽  
David Holowka ◽  
Barbara Baird

Sign in / Sign up

Export Citation Format

Share Document