Choose interpolation when your signal members have individual timestamps that vary with each member. Interpolation resamples members to a uniformly sampled data grid.
Interpolation Method — For information on interpolating to a uniform grid, see the Interpolation Method section of
Sampling frequency — The default
autosetting calculates the mean sampling frequency across all members.
The software stores the results of the computation in a new variable. The new variable
name includes the source signal name with the suffix
Use interpolation only if you can consider your signals to be concurrent. If you use
signals that are intentionally staggered in start time, interpolation expands each member
signal from its original size to the full length of the entire sequence using
NaN fill. For example, suppose that you want to maintain a sequence of
three different measurement days. Each day has the same amount of data and sampling frequency,
but each has a different start time. Grid interpolation expands each data member from one day
to three days. This signal expansion and
NaN handling increase processing
overhead and slows computation.
For more information on gridded interpolation, see Interpolating Gridded Data.