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Fourier Transform for Singal Classification

In this workflow I apply the fourier transform to audio recordings of 4 different sources to generate cross sectional data for use in a classification task.

Using reduced data set for example purpose.

Captured to create deployment workflow Partition beforeprocessing90% AccuracyAudio RecordingsSave deploymentworkflow Partitioning FFT and Binning FFT and Binning Scorer Table Reader CaptureWorkflow Start CaptureWorkflow End Workflow Writer Gradient BoostedTrees Learner Gradient BoostedTrees Predictor Captured to create deployment workflow Partition beforeprocessing90% AccuracyAudio RecordingsSave deploymentworkflow Partitioning FFT and Binning FFT and Binning Scorer Table Reader CaptureWorkflow Start CaptureWorkflow End Workflow Writer Gradient BoostedTrees Learner Gradient BoostedTrees Predictor

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: corey
Created at: 2021-09-29
On NodePit since: 2022-07-06
Last update: 2026-01-10
Created with KNIME version: v4.6.0
Tags: IoTAudioFourier TransformFFTSingal ProcessingTime SeriesFrequency Domain

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