{ "info": { "author": "Uwe Graichen", "author_email": "uwe.graichen@tu-ilmenau.de", "bugtrack_url": null, "classifiers": [ "Intended Audience :: Science/Research", "License :: OSI Approved :: BSD License", "Operating System :: OS Independent", "Programming Language :: Python :: 3" ], "description": "Sphara Implementation in Python\n-------------------------------\n\nSpharaPy is a Python implementation of the new approach for spatial\nharmonic analysis (SPHARA) that extends the classical spatial Fourier\nanalysis to non-uniformly positioned samples on an arbitrary surface\nin R^3, see also [graichen2015]. The basis functions used by SPHARA\nare determined by eigenanalysis of the discrete Laplace-Beltrami\noperator defined on a triangular mesh specified by the spatial\nsampling points. The Python toolbox SpharaPy provides classes and\nfunctions to determine the SPHARA basis functions, to perform data\nanalysis and synthesis (SPHARA transform) as well as classes to design\nspatial filters using the SPHARA basis.\n\nRequirements and installation\n-----------------------------\n\nRequired software and packages:\n\n- python3 (>=3.6)\n- numpy (>=1.16.1)\n- scipy (>=1.2.0)\n- matplotlib (>=3.0.2)\n\nTo install, simply use: ``pip3 install spharapy``\n\n\nExamples and Usage\n------------------\n\nMinimal examples are contained in the source code of the package. 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