Signal Processing Nodes for KNIME (trusted extension)

Signal processing is essential for a wide range of applications, from data science to real-time embedded systems. Our KNIME Signal Processing nodes make it easy to use signal processing techniques to explore and analyze high-frequency data. In combination with other KNIME nodes you can create powerful data pipelines to explore and extract features for machine learning applications, to analyze trends and discover patterns and anomalies in signals, and to visualize and measure time and frequency characteristics of signals.

With our KNIME Signal Processing nodes you can easily:

  • Acquire, measure, and analyze signals from many sources, like audio, smart sensors, instrumentation, and IoT devices.
  • Combine digital signal processing techniques with machine learning algorithms.
  • Provide instant insights into signals without writing a single line of code.

The current version features the following nodes:

  • WAV Reader
  • Window Slider
  • Window Function
  • Fast Fourier Transform (FFT)
  • Time Domain Features (TDF)
  • Frequency Domain Features (FDF)
  • Welch Averaging

Installation instructions for the nodes can be found here.

More information about the Digital Signal Processing nodes is available here:

If you have any questions, comments, or problems, we are happy to hear from you via e-mail.

About AI.Associates

AI.Associates offers big data analytics products and services that transform the way global companies make decisions. We fuse data, technology, and machine learning to give our clients a competitive edge. Our portfolio covers machine learning & big data technology consulting services, a big data distribution (Cassandra, Apache Spark & KNIME) and KNIME software development services.


The Digital Signal Processing Nodes are released under GPLv3.

The Digital Signal Processing KNIME Nodes were created by AI.Associates GmbH; 2016 – 2018.


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