Continuous wavelet transform¶
Decompose a signal into multiple different scales/frequencies and show how that frequency component of the signal varies over time.
Documentation¶
Continuous Wavelet Transform (CWT) is similar to Short Time Fourier Transform in that it reveals the frequency contents of a signal, and also shows how that frequency content changes over time.
Definition¶
Input ports¶
- time domain
Type: tableDescription: time domain
Output ports¶
- wavelet domain
Type: tableDescription: wavelet domain
Configuration¶
- Rescale output (rescale)
Multiplies each scale output with 1/scale as a normalization
- Number of scales (scales)
Number of scale values to generate, always start at scale 1
- Wavelet (wavelet)
Selects wavelet to apply
Examples¶
Example flows demonstrating this node:
Implementation¶
- class node_wavelets.ContinuousWaveletTransform[source]