Metadata-Version: 1.1
Name: pydsm
Version: 0.13.0.1
Summary: Python Based Delta-Sigma modulator design tools
Home-page: https://github.com/sergiocallegari/PyDSM
Author: Sergio Callegari
Author-email: sergio.callegari@unibo.it
License: GNU General Public License v3 or later (GPLv3+)
Description: PyDSM
        =====
        
        This is a Python/Scipy toolbox for the design and simulation of
        ΔΣ Modulators, with emphasis on digital modulators.
        
        Currently, it focuses on tools for the design of the modulator NTF. It
        also includes a fast simulator for digital modulators. Furthermore, it
        includes a Python/Scipy port of some functions from the `DELSIG
        toolbox
        <http://www.mathworks.com/matlabcentral/fileexchange/19-delta-sigma-toolbox>`__
        by R. Schreier.
        
        As a highlight, the code includes an original NTF design technique
        fully described in the papers:
        
        * Sergio Callegari, Federico Bizzarri *“Output Filter Aware
          Optimization of the Noise Shaping Properties of ΔΣ Modulators via
          Semi-Definite Programming”*, IEEE Transactions on Circuits and
          systems - Part I: Regular Papers, Vol. 60, N. 9,
          pp. 2352-2365. Sept. 2013. DOI: `10.1109/TCSI.2013.2239091
          <http://dx.doi.org/10.1109/TCSI.2013.2239091>`_. Pre-print available
          on `ArXiv <http://arxiv.org/abs/1302.3020>`__.
        * Sergio Callegari, Federico Bizzarri *“Noise Weighting in the Design
          of ΔΣ Modulators (with a Psychoacoustic Coder as an Example),”* IEEE
          Transactions on Circuits and Systems - Part II: Express Briefs,
          Vol. 60, N. 11, pp. 756-760. Nov. 2013. DOI:
          `10.1109/TCSII.2013.2281892
          <http://dx.doi.org/10.1109/TCSII.2013.2281892>`_. Pre-print available
          on `ArXiv <http://arxiv.org/abs/1309.6151>`__.
        
        If you find the code useful, *please cite these papers in your work*.
        
        ----
        
        The code is available on the Python Package Index, also known as `Pypi
        <https://pypi.python.org/pypi>`__, in at the `Pypi PYDSM page
        <https://pypi.python.org/pypi/pydsm>`__.
        
        The pre-built documentation is also available in a dedicated `PyDSM
        documentation <http://pythonhosted.org/pydsm/>`_ page on Pypi.
        
        ----
        
        PyDSM is free software; you can redistribute it and/or modify it under
        the terms of the GNU General Public License as published by the Free
        Software Foundation; either version 3 of the License, or (at your
        option) any later version.
        
        See file `COPYING` for further details.
        
        Part of this code, limited to the `delsig` module, is ported from the
        `DELSIG toolbox
        <http://www.mathworks.com/matlabcentral/fileexchange/19-delta-sigma-toolbox>`__
        copyright by R. Schreier and licensed under the BSD license, as
        specified in the corresponding files.
        
        Distribution temporarily includes a patched version of the `CVXPY`
        package by Tomas Tinoco de Rubira, that is currently discontinued,
        being replaced by the `CVXPY` package by Steven Diamond and Eric Chu
        and Stephen Boyd that provices more functionality and a different API.
        This code is copyright by Tomas Tinoco de Rubira and licensed under the GPLv3+,
        as specified in the corresponding files.
        
        PyDSM is distributed in the hope that it will be useful, but WITHOUT
        ANY WARRANTY, without even the implied warranty of MERCHANTABILITY or
        FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License
        for more details.
        
        
        Changelog
        ---------
        
        0.13.0.1
           - Fix compatibility with most recent cvxpy
           - Minor bugfixes
        
        0.13.0.0
           - Python 3 compatibility!
           - Bugfixes
        
        0.12.0.1
           - Fix crashes due to incorrect management of parameters in deprecated
             functions
        
        0.12.0.0
           - Switch to new version numbering scheme also in view of
             PEP 440
           - Install as zipped package
           - Modify management of optional parameters in some functions.
             Note that this implies a minor API breakage.
           - Implement new hybrid NTF design method
           - Slightly improve accuracy of weighted NTF design functions
           - Improve quantization_noise_gain function
           - Improve html documentation
           - Let multiple modelers be selected in functions using convex
             optimization (cvxpy, cvxpy_old and picos are supported)
           - Implement some more functions in delsig module (axisLabels, rms)
           - Many small fixes
        
        0.11.0
           - Switch to setuptools for building
           - Improve testing framework
           - Better management of optional parameters in some functions
           - API cleanups
             (a best effort has been put in retaining back-compatibility. Some
             back compatibility functions are deprecated and will be removed)
           - Code style improvements
        
        0.10.1
           - Fix setup script for compatibility with MacOs
           - Provide getting started guide for MacOs
           - Minor fixes in documentation
        
        0.10.0
           - Ready setup script for distribution
           - Implement ``partitionABCD`` in delsig module
           - Make delsig module PEP8 compliant
           - Some minor improvements to utility functions
        
        0.9.1
           - Apply some fixes to the modulator simulator
           - Make building for 64 bit windows possible
           - Implement ``clans`` NTF design method
           - Implement ``minmax`` NTF design method
             (only single band LP, so far)
        
        0.9.0
           - Include a local version of the discontinued cvxpy package
             by Tomas Tinoco de Ribera. This is a temporary measure
        
        0.8.3
           - Fix a typo in the fast DSM simulator
             (only affecting case where modulator structure is passed in ABCD form)
           - Add example from ICECS 2013 paper
           - Enhance ``quantization_weighted_noise_gain`` function
        
        0.8.2
           - Fix some licensing issues
        
        0.8.1
           - Prevent synthesizeNTF failure if there are no zeros to optimize
           - Improve some docstrings
           - Remove some spurious imports
           - Fix normalization in quantization_noise_gain functions
        
        0.8.0
           - Add NTF design method based on a noise weighting function
           - Provide a new module with standard audio weighting functions
           - Provide a new module with ISO 226 equal loudness contours
           - Provide a new module with NTF design methods for psychoacoustically
             optimal modulators for audio signals
           - Fix a regression in ``ds_optzeros`` introduced with version 0.7.3
             and preventing some example code from running
           - Add new examples from a recently published TCAS-II paper
           - Use ``'ba'`` specifier for requiring filters in numerator/denominator form
           - Make ``evalTF`` function more robust against complex overflow
           - Bug fixes
        
        0.7.3
           - Apply fixes introduced in DELSIG 7.4
           - Make port of DELSIG functions more consistent with DELSIG
           - Provide better documentation to some functions
           - Bug fixes
        
        0.7.2
           - Make codebase compatible with scipy 0.12.0
           - Make delsig module contain its reference delsig version
           - Minor fixes to the documentation
        
        0.7.1
           - Fix computation of impulse response of filters that are already in
             FIR form.
           - Avoid direct access to numpy array data in Cython code. This is in
             preparation for future releases of numpy where direct access to
             array data is already deprecated.
           - Implement the synthesizeChebyshevNTF NTF design strategy from DELSIG.
        
        0.7.0
           - Dropped dependency on ATLAS on Windows. Now using the blas functions
             made available via scipy. The linux version still uses ATLAS that has
             a little performance advantage.
           - Much simpler installation on Windows
           - API changes: renamed ``synthezize_ntf_from_filter_ir`` into
             ``synthezize_ntf_from_filter_imp``; swapped param order in
             ``q0_from_filter_imp_response``.
           - Fixed passing of options to ``synthesize_ntf_from_q0`` and
             ``synthesize_ntf_from_filter_imp``
        
        0.6.1
           - Add project logo to the project source
           - Ship html documentation separately from main code
           - Add sample code to replicate the results in an ICECS 2012 paper
        
        0.6.0
           First released version
        
Platform: Linux
Platform: Windows
Platform: Mac
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Cython
Classifier: Topic :: Education
Classifier: Topic :: Scientific/Engineering :: Electronic Design Automation (EDA)
Requires: scipy (>=0.10.1)
Requires: numpy (>=1.8.0)
Requires: matplotlib (>= 1.1.0)
Requires: cvxopt (>=1.1.4)
Requires: cython (>=0.16)
Requires: setuptools (>=3.3)
Requires: nose (>=1.0)
