Discrete Wavelet Transform (DWT)

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)

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.