SignalFilters 0.0.7

Filtering digital signals using a front end to scipy filters

A collection of digital signal filter front end for scipy

A collection of signal processing tools, utilities and class for signal processing

Description

The signal processing tool box has the following topics

1. filters: Definition of three digital signal filters (all with low, high, -band-pass mode)

   • Ideal block filter

   • Butterworth filter

   • Kaiser filter

   • Phase shift removal

2. utils: Classes and function to support signal processing

   • SignalGenerator: class to generated signal with multiple harmonic components and noise for testing purposes

   • get_peaks: Extract the peaks from a power spectral density

Notes

• The SciPy provides most signal processing tool, such as as power spectral density estimator welch, which uses an equivalent algorithm as the specdens function from the Matlab tool box

• The filters defined in this package are in fact front ends to the Scipy filters, however, in this package the filters have a more user-friendly interface.

• For peak finding either the PeakUtils or the PyWafo package is recommended.

• The function get_peaks is a front end to the peakutils.peaks function

Examples

• Examples of using filtering with the SignalFilters package: example_filtering or example_filtering_rtd

Note

This project has been set up using PyScaffold 4.5.0. For details and usage information on PyScaffold see http://pyscaffold.readthedocs.org/.