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The resample filter converts from either uniform or non-uniform timestep input data samples to the specified uniform timeStep. Various time domain filters are available and are specified with the kernel attribute which selects the resampling kernel applied to the incoming data.
100 | Pass through: disables resampling |
200 | Closest sample to output timestamp |
300 | Linear interpolation between closest samples |
400 | Box filter: moving average |
500 | Tent filter: (1 - |x|) weighted moving average |
600 | Gaussian2 Filter: (2^(-2x*x)) weighted moving average |
700 | Gaussian4 Filter: (2^(-4x*x)) weighted moving average |
Since the base class inputs (comprising the input and output data and timestamp values) to this node are unconnectable, this node cannot be used in a traditional dependency graph sense.
Node name | Parents | MFn type | Compatible function sets |
---|---|---|---|
filterResample | filter | kFilter | kBase kNamedObject kDependencyNode kFilter |
filter, filterClosestSample, filterEuler, filterSimplify
Long name (short name) | Type | Default | Flags | ||
---|---|---|---|---|---|
kernel
(kr )
| enum | 600 | ![]() ![]() ![]() ![]() | ||
timeStep
(ts )
| time | 0film | ![]() ![]() ![]() ![]() | ||