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 by R. Schreier.

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. Pre-print available on ArXiv.
• 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. Pre-print available on ArXiv.

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, in at the Pypi PYDSM page.

The pre-built documentation is also available in a dedicated PyDSM documentation page on Pypi.

Warning

Version 0.14.0.0 of PyDSM is likely going to be the last version supporting Python 2

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 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.