PyWavelets

First published: 2006

Brief summary

Python wavelet transform library.

Article

PyWavelets is covered by the linked source. Python wavelet transform library.

The material from PyWavelets describes a method for detecting, decomposing, testing or reproducing structure in time-series data.

Reliable use requires attention to sampling, trend, missing values, noise, boundaries, parameter choices and multiple testing. Sensitivity checks help assess stability.

No method can confirm a genuine cycle from an attractive graph or isolated peak alone. Significance requires an appropriate null model and documented preprocessing.

Source details and credits

• Source / publisher: PyWavelets
• Source type: Software docs
• URL type: WWW
• Credits: PyWavelets
• URL: https://pywavelets.readthedocs.io/en/latest/