SciPy Signal Processing

First published: 2001

Brief summary

SciPy signal processing tools for FFT, filters and spectral estimation.

Article

SciPy Signal Processing is covered by the linked source. SciPy signal processing tools for FFT, filters and spectral estimation.

The material from SciPy 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: SciPy
• Source type: Software docs
• URL type: WWW
• Credits: SciPy
• URL: https://docs.scipy.org/doc/scipy/reference/signal.html