{ "info": { "author": "Nicolae Cleju", "author_email": "nikcleju@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Environment :: Other Environment", "Intended Audience :: Developers", "Intended Audience :: Science/Research", "License :: OSI Approved :: GNU General Public License (GPL)", "Operating System :: OS Independent", "Programming Language :: Python", "Topic :: Scientific/Engineering", "Topic :: Scientific/Engineering :: Information Analysis", "Topic :: Scientific/Engineering :: Mathematics", "Topic :: Software Development :: Libraries :: Python Modules" ], "description": "Python Compressed Sensing algorithms\r\n-------------------------------------\r\n\r\nPython implementation of various Compressed Sensing algorithms, some of them originally implemented in Matlab.\r\nAlgorithms implemented:\r\n- l1 minimization from l1magic\r\n- Orthogonal Matching Pursuit\r\n- Smoothed L0\r\n- Greedy Analysis Pursuit\r\n- NESTA\r\n- Two Stage Thresholding\r\n- Analysis-By-Synthesis (my paper)\r\n\r\nNot thoroughly tested, but I use them for my research. Use at own risk.\r\n\r\nThe code can also be forked or downloaded from https://github.com/nikcleju/pyCSalgos", "description_content_type": null, "docs_url": null, "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://code.soundsoftware.ac.uk/projects/pycsalgos", "keywords": "", "license": "UNKNOWN", "maintainer": "", "maintainer_email": "", "name": "pyCSalgos", "package_url": "https://pypi.org/project/pyCSalgos/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/pyCSalgos/", "project_urls": { "Download": "UNKNOWN", "Homepage": "https://code.soundsoftware.ac.uk/projects/pycsalgos" }, "release_url": "https://pypi.org/project/pyCSalgos/1.1.0/", "requires_dist": null, "requires_python": null, "summary": "Python Compressed Sensing algorithms", "version": "1.1.0" }, "last_serial": 970668, "releases": { "1.1.0": [ { "comment_text": "", "digests": { "md5": "8c5edecc9e003856d90caeb37e1f63d9", "sha256": "877fcf8c78861b2ea296e93fe0da768c5cfc04a5143d0782c01f276f019264dd" }, "downloads": -1, "filename": "pyCSalgos-1.1.0.tar.gz", "has_sig": false, "md5_digest": "8c5edecc9e003856d90caeb37e1f63d9", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 52497, "upload_time": "2013-07-09T11:47:15", "url": "https://files.pythonhosted.org/packages/c0/12/58915d7c13c3e8be5b4ebc9c0f1b8d76b24d3013db4edc5f389db949a4c2/pyCSalgos-1.1.0.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "8c5edecc9e003856d90caeb37e1f63d9", "sha256": "877fcf8c78861b2ea296e93fe0da768c5cfc04a5143d0782c01f276f019264dd" }, "downloads": -1, "filename": "pyCSalgos-1.1.0.tar.gz", "has_sig": false, "md5_digest": "8c5edecc9e003856d90caeb37e1f63d9", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 52497, "upload_time": "2013-07-09T11:47:15", "url": "https://files.pythonhosted.org/packages/c0/12/58915d7c13c3e8be5b4ebc9c0f1b8d76b24d3013db4edc5f389db949a4c2/pyCSalgos-1.1.0.tar.gz" } ] }