- Type: TableInput DataThe Input data. It should contain a numeric time series column.
This nodes performs a Fast Fourier Transform in a desired numeric timeseries data column. It requires the KNIME Python extensions with Python 3 set up. The dataset cannot contain missing values. Additionally, the component produces an interactive view displaying the normalized power spectrum of the signal. If you encoutner errors please verify that Preferances > KNIME > Python (labs) > Python environment configuration is set to bundled
- Type: TableTransformed tableOutput a table containing the original columns and two adittional columns with the resolved frequencies and their normalized power. Normalization is performed by dividing the raw amplitudes by the length of the signal.
Used extensions & nodes
Created with KNIME Analytics Platform version 4.6.1
By using or downloading the component, you agree to our terms and conditions.