Regularizing a Test Data Set

You can regularize a test data set to reduce or increase the number of test data points in the test data set and to cause those test data points to be uniformly spaced with respect to time or frequency.

Test data regularization is similar to decimation, but instead of preserving certain test data points, it causes new test data values to be resampled from the existing test data.

See Also
Test Data Import Overview
About Test Data Processing
  1. From the Calibration Tools section of the action bar, click Calibration Setup .
  2. From the Test data sets section of the Calibration setup dialog box, double-click the name of the test data feature you want to edit.
  3. Click Regularize.
    The Regularize options appear above the test data plot.
  4. Optional: From the Range options, specify the range within which you want to perform regularization by doing either of the following:

    • In the Range fields, enter the minimum and maximum values of the range.
    • Drag the blue vertical lines in the chart so that they contain the range within which you want to regularlize data points.

  5. In the Num points field, specify the number of points you desire to be resampled into the selected range.
  6. Optional: Select Log-based regularization to resample data points with uniform intervals in log space, or clear this option to resample data points with uniform intervals in linear space.
  7. Click Evaluate.
    The app calculates resampled data points based on the current settings and displays the new data in the test data plot.
  8. Click .

    Tip: You can also cancel the regularization without making any changes by clicking .

The app replaces the test data with the new regularized test data points Test Data dialog box.