Data files used to generate figures 5 and 6 in the paper:

Laser speckle velocimetry for robot manufacturing
T. Charrett et al., 2017

Presentated at SPIE Optical Metrology conference Munich June 2017

Misc files:
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plot_combined.py    -   script to load data and generate figures 5 and 6.
config              -   file containing sensor calibrations used.

Data files with filenames in the format:
----------------------------------------

Dx [+-X]mms-1.npz   -   Data recorded at travel speed of Vx = X mm/s, Vy = 0 mm/s
Dy [+-Y]mms-1.npz   -   Data recorded at travel speed of Vx = 0 mm/s, Vy = Y mm/s

stored in NumPy (www.numpy.org) compressed format, containing sensor outputs:

t       - sensor timestamp
vx      - x component of measured velocity in mm/s
vy      - y component of measured velocity in mm/s
Ax      - x component speckle shift from reference in pixels
Ay      - y component speckle shift from reference in pixels
q       - correlation quality value = peak value/mean
Nref    - Count of re-references

and hexapod encoder data:

t_hh    - encoder readout timestamp
x_hh    - encoder x position
y_hh    - encoder y position
vx_hh   - encoder x velocity component
vy_hh   - encoder y velocity component

Load using:
import numpy as npz
data = numpy.load(filename)
vx = data['vx']
...

