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)

Options

Window Input?

Enter Description

Column to Transform

The selected column will be transformed with the Discrete Wavelet Transform.

Window Size

Size of windows the Discrete Wavelet Transform will be applied to.

Window Step Size

Movement amount between windows.%%00010An Interval shorter than the chunk size will result overlappng chunks.

Wavelet

Choose wavelet for transform.

Nodes

• Integer Configuration2 ×
• Transpose2 ×
• Boolean Configuration1 ×
• Column Filter1 ×
• Column Rename (Regex)1 ×
• Show all 10 nodes

Extensions

• FeatureKNIME Base nodes
• FeatureKNIME Python 2 Integration (legacy)
• FeatureKNIME Quick Forms

Links

• No links available