The vehicle safety tools' Transforms menu provides several functions to calculate running statistics, regressions, FFTs, etc.
Option |
Description |
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Histograms (abs) |
Creates a simplified histogram (plot) representation of selected data, showing the relative frequency that a given value appears in the vector, or its absolute value. |
Histograms (rel) |
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Fourier Transforms |
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Rectangular |
Rectangular window applied to data in the frequency domain. |
Hanning |
Hanning windowing function. |
Welch |
Welch windowing function. |
Hamming |
Hamming windowing function. |
Blackman |
Blackman windowing function. |
Parzen |
Parzen windowing function. |
Inverse |
Matrix inversion function. |
Running Stats |
For all running stats: |
Average |
The statistical measures are made at the current point, using all prior data points. |
Median |
For example, |
Minimum |
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Maximum |
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Standard Deviation |
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Regression |
For linear through 10th degree: Polynomial least squares curve fit function. |
Linear |
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Quadratic |
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Cubic |
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4th Degree |
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5th Degree |
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6th Degree |
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7th Degree |
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8th Degree |
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9th Degree |
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10th Degree |
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Powery = A*xB |
Fit given data to , where A and B are calculated for best fit. |
Exponentialy = A*exp(B*x) |
Exponential least-squares curve fit function. |
Logarithmicx = A+B*In(x) |
Fit given data to , where A and B are calculated for best fit. |
Inversey = I/(A+B*x) |
Fit given data to , where A and B are calculated for best fit. |
Derivative |
Curve derivative function. |
Integral |
The integral function. |
Cross Correlation |
Cross correlation between two curves. Output èè x: lag y: correlation (A value of 1 is a perfect correlation) For example, at a lag of, c1 and c2 have a correlation value of "correlation." |
Splines |
Cubic spline interpolation function. |
Sample Points |
Resample or sample points. Resamples the given input curve to the specified data frequency. |
Digital Filter |
Impulse response filter function. |