Fast Fourier Transform (FFT)

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.

The component requires the following extensions:
- KNIME Python Integration (https://kni.me/e/9Z2SYIHDiATP4xQK)
- KNIME JavaScript Views (https://kni.me/e/0qveOxOA3751S6Vx)

Topics: IoT, Internet of Things, Signal Processing

Input ports

1. Type: Table
   Input Data
   The Input data. It should contain a numeric time series column.

Output ports

1. Type: Table
   Transformed table
   Output 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.