{ "info": { "author": "Sergio Callegari", "author_email": "sergio.callegari@unibo.it", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Environment :: Console", "Intended Audience :: Developers", "Intended Audience :: Education", "Intended Audience :: Science/Research", "License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)", "Natural Language :: English", "Operating System :: MacOS :: MacOS X", "Operating System :: Microsoft :: Windows", "Operating System :: POSIX", "Programming Language :: Cython", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.6", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.2", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Topic :: Education", "Topic :: Scientific/Engineering :: Electronic Design Automation (EDA)" ], "description": "PyDSM\n=====\n\nThis is a Python/Scipy toolbox for the design and simulation of\n\u0394\u03a3 Modulators, with emphasis on digital modulators.\n\nCurrently, it focuses on tools for the design of the modulator NTF. It\nalso includes a fast simulator for digital modulators. Furthermore, it\nincludes a Python/Scipy port of some functions from the `DELSIG\ntoolbox\n`__\nby R. Schreier.\n\nThe code includes an original NTF design technique fully described in the\npapers:\n\n* Sergio Callegari, Federico Bizzarri *\u201cOutput Filter Aware\n Optimization of the Noise Shaping Properties of \u0394\u03a3 Modulators via\n Semi-Definite Programming\u201d*, IEEE Transactions on Circuits and\n systems - Part I: Regular Papers, Vol. 60, N. 9,\n pp. 2352-2365. Sept. 2013. DOI: `10.1109/TCSI.2013.2239091\n `_. Pre-print available\n on `ArXiv `__.\n* Sergio Callegari, Federico Bizzarri *\u201cNoise Weighting in the Design\n of \u0394\u03a3 Modulators (with a Psychoacoustic Coder as an Example),\u201d* IEEE\n Transactions on Circuits and Systems - Part II: Express Briefs,\n Vol. 60, N. 11, pp. 756-760. Nov. 2013. DOI:\n `10.1109/TCSII.2013.2281892\n `_. Pre-print available\n on `ArXiv `__.\n\nIf you find the code useful, *please cite these papers in your work*.\n\n----\n\nThe code is available on the Python Package Index, also known as `Pypi\n`__, in at the `Pypi PYDSM page\n`__.\n\nThe pre-built documentation is also available in a dedicated `PyDSM\ndocumentation `_ page on Pypi.\n\n----\n\nWarning\n-------\n\nVersion 0.14.0.0 of PyDSM is likely going to be the last version supporting\nPython 2\n\n----\n\nPyDSM is free software; you can redistribute it and/or modify it under\nthe terms of the GNU General Public License as published by the Free\nSoftware Foundation; either version 3 of the License, or (at your\noption) any later version.\n\nSee file `COPYING` for further details.\n\nPart of this code, limited to the `delsig` module, is ported from the\n`DELSIG toolbox\n`__\ncopyright by R. Schreier and licensed under the BSD license, as\nspecified in the corresponding files.\n\nDistribution temporarily includes a patched version of the `CVXPY`\npackage by Tomas Tinoco de Rubira, that is currently discontinued,\nbeing replaced by the `CVXPY` package by Steven Diamond and Eric Chu\nand Stephen Boyd that provices more functionality and a different API.\nThis code is copyright by Tomas Tinoco de Rubira and licensed under the GPLv3+,\nas specified in the corresponding files.\n\nPyDSM is distributed in the hope that it will be useful, but WITHOUT\nANY WARRANTY, without even the implied warranty of MERCHANTABILITY or\nFITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License\nfor more details.\n\n\nChangelog\n---------\n\n0.14.0.0\n - Fix compatibility with cvxpy 1.0.x\n - Fix compatibilit with PICOS 1.2.0\n - Fix compatibility with matplotlib 3\n - Fix compatibility with sphinx 2.2.0 (html docs only)\n - Minor bugfixes\n\n0.13.0.1\n - Fix compatibility with most recent cvxpy\n - Minor bugfixes\n\n0.13.0.0\n - Python 3 compatibility!\n - Bugfixes\n\n0.12.0.1\n - Fix crashes due to incorrect management of parameters in deprecated\n functions\n\n0.12.0.0\n - Switch to new version numbering scheme also in view of\n PEP 440\n - Install as zipped package\n - Modify management of optional parameters in some functions.\n Note that this implies a minor API breakage.\n - Implement new hybrid NTF design method\n - Slightly improve accuracy of weighted NTF design functions\n - Improve quantization_noise_gain function\n - Improve html documentation\n - Let multiple modelers be selected in functions using convex\n optimization (cvxpy, cvxpy_old and picos are supported)\n - Implement some more functions in delsig module (axisLabels, rms)\n - Many small fixes\n\n0.11.0\n - Switch to setuptools for building\n - Improve testing framework\n - Better management of optional parameters in some functions\n - API cleanups\n (a best effort has been put in retaining back-compatibility. Some\n back compatibility functions are deprecated and will be removed)\n - Code style improvements\n\n0.10.1\n - Fix setup script for compatibility with MacOs\n - Provide getting started guide for MacOs\n - Minor fixes in documentation\n\n0.10.0\n - Ready setup script for distribution\n - Implement ``partitionABCD`` in delsig module\n - Make delsig module PEP8 compliant\n - Some minor improvements to utility functions\n\n0.9.1\n - Apply some fixes to the modulator simulator\n - Make building for 64 bit windows possible\n - Implement ``clans`` NTF design method\n - Implement ``minmax`` NTF design method\n (only single band LP, so far)\n\n0.9.0\n - Include a local version of the discontinued cvxpy package\n by Tomas Tinoco de Ribera. This is a temporary measure\n\n0.8.3\n - Fix a typo in the fast DSM simulator\n (only affecting case where modulator structure is passed in ABCD form)\n - Add example from ICECS 2013 paper\n - Enhance ``quantization_weighted_noise_gain`` function\n\n0.8.2\n - Fix some licensing issues\n\n0.8.1\n - Prevent synthesizeNTF failure if there are no zeros to optimize\n - Improve some docstrings\n - Remove some spurious imports\n - Fix normalization in quantization_noise_gain functions\n\n0.8.0\n - Add NTF design method based on a noise weighting function\n - Provide a new module with standard audio weighting functions\n - Provide a new module with ISO 226 equal loudness contours\n - Provide a new module with NTF design methods for psychoacoustically\n optimal modulators for audio signals\n - Fix a regression in ``ds_optzeros`` introduced with version 0.7.3\n and preventing some example code from running\n - Add new examples from a recently published TCAS-II paper\n - Use ``'ba'`` specifier for requiring filters in numerator/denominator form\n - Make ``evalTF`` function more robust against complex overflow\n - Bug fixes\n\n0.7.3\n - Apply fixes introduced in DELSIG 7.4\n - Make port of DELSIG functions more consistent with DELSIG\n - Provide better documentation to some functions\n - Bug fixes\n\n0.7.2\n - Make codebase compatible with scipy 0.12.0\n - Make delsig module contain its reference delsig version\n - Minor fixes to the documentation\n\n0.7.1\n - Fix computation of impulse response of filters that are already in\n FIR form.\n - Avoid direct access to numpy array data in Cython code. 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