Data Analysis Routines
- regress.m
Linear regression uncertainty.
Determines the uncertainty (95% confidence) in the slope and a particular
estimated value
based on a linear regression (polyfit) analysis. I have used this function
in determining the uncertainties in stagnation temperature and
heat transfer coefficient measurements in my temperature probe experiments.
- smo.m
Moving-average filter.
Replaces each data point with the average value within a certain window
centered around the current data point.
- quadfit.m
Quadratic curve fit through a specified point.
If the second order polynomial curve fit for the data must pass through
a certain point (x0,y0), then use this function rather than polyfit.
- load_wavestar.m, load_wavestar_1.m,
load_wavestar_2.m
Load text data in specified file name previously exported from wavestar
as a text file (various versions).
- fd_ts.m
Produces finite difference coefficients for approximation of derivatives
using Taylor series expansion.
- remove_spikes1.m, remove_spikes2.m
Remove spikes from data. Eg electrical interference from spark ignition in IC engine experiments.
- find_rise_settle.m
Identifies the rise and settle times of a step response.