{ "info": { "author": "Jonas Schulte-Coerne", "author_email": "", "bugtrack_url": null, "classifiers": [ "Development Status :: 5 - Production/Stable", "Intended Audience :: Developers", "Intended Audience :: Science/Research", "License :: OSI Approved :: GNU Lesser General Public License v3 or later (LGPLv3+)", "Programming Language :: Python :: 3.7", "Topic :: Software Development :: Libraries :: Application Frameworks" ], "description": "SuMPF\n=====\n\nThe *SuMPF* package provides some classes, that implement offline (non-realtime) signal processing functionalities.\n*SuMPF* is being developed with a focus on acoustics, but it might be applicable for the analysis of other time series data as well.\n\nHere is a brief example of *SuMPF* in action:\n\n>>> import sumpf\n>>> noise = sumpf.GaussianNoise(mean=0.0,\n... standard_deviation=1.0,\n... sampling_rate=48000.0,\n... length=2 ** 14)\n>>> filter_ = sumpf.ButterworthFilter(cutoff_frequency=1000.0, order=4, highpass=True)\n>>> 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