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.
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.
The RMS values are calculated as given below: