Periodic Sequence Split Table

../../../../../_images/sequencesplit.svg
Input ports:
sequence:

table

The sequence to split

Output ports:
sequences:

[table]

The split sequences

Configuration:
Peak Detecting Algorithm (peak_detector)
Choose which algorithm to detect periodic events
Samples per peak (samples)
Choose an approximate value for the number of expected samples between peaks
Select column: (select_column)
Choose column to use as identifier
Offset of peridodic event(0-100) (lag_offset)
Add lag as a percentage of the discarded data

Find peaks in a signal and slice the input Table into a list of Tables, where each element contains one peak.

If peaks are found very close to the edges of the data, the first and/or last element may contain unexpected results. If this is the case, use Slice List to remove these elements.

class node_sequencesplit.SequenceSplit[source]

Example flows