By using PULSE Bridge to MATLAB, MATLAB can be used as a post-processing engine
for PULSE. This means that you can externally make special mathematical calculations
on the measured data from PULSE.
Axis annotation: All data from PULSE are exported with x-, y- and z-axis annotation.
Data visualisation: PULSE already has many functions for displaying all measured data.
Additionally, MATLAB can be used as a post-processor to visualise the data from PULSE.
MATLAB includes 3-dimensional graphics.
Mathematical calculations: In signal processing, mathematical calculation is sometimes
required. Using MATLAB, all your mathematical calculations can be made by formulating
a user-defined function.
Data comparison after modification: For post-processing, all measured data can be
compared with one another, in order to check the effect of modifications.
Correlation with simulated data: After measurement, the data from PULSE can be
correlated with simulated data by using the simulation tools.
Data matching and remodelling: Using measurement data from PULSE, the numerical
model can be checked and remodelled using the optimised properties.
Measurement data interpolation: All measured data from PULSE can be interpolated
by MATLAB.
No comments:
Post a Comment