Grouped Root Mean Square Processor

Modified on Tue, 30 Nov 2021 at 04:44 PM


Processor for computing the root mean square for data grouped by a time-window size.


As input, the processor requires a dataset with a timestamp column (of type datetime) and numeric column to which compute the root mean square.



The processor returns a table with three columns: The signal column name, the window number and the corresponding root mean squared value.


Example Input


In the following workflow, the Ordering processor is used to order the output data by ascending window number. This doesn't affect the result, it just makes it easier to interpret.

Example Configuration


The RMS values are calculated as given below:

Related Articles

Moving Average Processor

Grouped FFT Computation Processor

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