{ "info": { "author": "Brian J. Soher", "author_email": "bsoher ~at~ briansoher ~dot com~", "bugtrack_url": null, "classifiers": [ "Development Status :: 5 - Production/Stable", "Intended Audience :: Science/Research", "License :: OSI Approved :: BSD License", "Operating System :: MacOS :: MacOS X", "Operating System :: Microsoft :: Windows", "Operating System :: POSIX :: Linux", "Operating System :: Unix" ], "description": "The HLSVD function fits of a model function (sum of lorentzian decaying sinusoids)\nto the provided time-domain data via the state space approach.\n\nThe state space approach is described in S.Y. Kung, K.S. Arun and D.V. Bhaskar Rao, J.\nOpt. Soc. Am. 73, 1799 (1983).\n\nThe HLSVD software implementation is described in W.W.F. Pijnappel, A. van den Boogaart,\nR. de Beer, D. van Ormondt, J. Magn. Reson. 97, 122 (1992).\n\nThe adaptation of the PROPACK library into HLSVD to create the HLSVDPRO algorithm is\ndescribed in T. Laudadio and N. Mastronardi and L. Vanhamme and P. Van Hecke and\nS. Van Huffel, \"Improved Lanczos algorithms for blackbox MRS data quantitation\",\nJournal of Magnetic Resonance, Volume 157, pages 292-297, 2002\n\nWe (the Vespa team) have made some very minor modifications to this version of HLSVDPRO.\nMost importantly, we added Makefiles and a Python wrapper. We are very grateful to\nall of the above scientists for sharing their work and agreeing to release it under a\nBSD license.", "description_content_type": null, "docs_url": null, "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "http://scion.duhs.duke.edu/vespa/", "keywords": "svd,hlsvd,propack,time domain,fitting", "license": "http://creativecommons.org/licenses/BSD/", "maintainer": null, "maintainer_email": null, "name": "hlsvdpro", "package_url": "https://pypi.org/project/hlsvdpro/", "platform": "Linux,OS X,Windows,POSIX", "project_url": "https://pypi.org/project/hlsvdpro/", "project_urls": { "Download": "UNKNOWN", "Homepage": "http://scion.duhs.duke.edu/vespa/" }, "release_url": "https://pypi.org/project/hlsvdpro/1.0.1/", "requires_dist": null, "requires_python": null, "summary": "This is a Python wrapper around the HLSVDPRO function/library.\nThis function fits time domain data to a model function that is a set of\nlorentzian decaying sinusoids using the state space approach. The original SVD\nFortran code for this was written by Rasmus Munk Larsen and released as PROPACK\nSVD. 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