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  • Discrete Wavelet Transform (DWT)
ComponentComponent

Discrete Wavelet Transform (DWT)

Last edited: 

Applies the Discrete Wavelet Transform (DWT) to selected input column with selected window sizes and steps for the selected wavelet. The following wavelets are supported: Haar (haar) Daubechies (db) Symlets (sym) Coiflets (coif) Biorthogonal (bior) Reverse biorthogonal (rbio) Discrete FIR approximation of Meyer wavelet (dmey) Gaussian wavelets (gaus) Mexican hat wavelet (mexh) Morlet wavelet (morl) Complex Gaussian wavelets (cgau) Shannon wavelets (shan) Frequency B-Spline wavelets (fbsp) Complex Morlet wavelets (cmor) Note: This component requires a Python environment with PyWavelets package installed. Required extensions: KNIME Python Integration (https://hub.knime.com/knime/extensions/org.knime.features.python2/latest) KNIME Quick Forms (https://hub.knime.com/knime/extensions/org.knime.features.js.quickforms/latest)

Component details

Input ports
  1. Type: Table
    Data to Transform
    Table containing numeric column to be transformed.
Output ports
  1. Type: Table
    Approximation Coeficents
    Result of low pass filter at each level.
  2. Type: Table
    Detail Coeficents
    Result of high pass filter at each level.

Used extensions & nodes

Created with KNIME Analytics Platform version 4.1.2
  • KNIME Core Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.2

  • KNIME Python Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.1

  • KNIME Quick Forms Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.2

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