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It aims to provide a 1:1 Python port of Richard Schreier’s *excellent* MATLAB Delta Sigma Toolbox, the de facto standard tool for high-level delta sigma simulation, upon which it is very heavily based.

Getting started

To have an idea of the currently implemented functionality, take a look at these IPython notebooks:

If you have some examples you would like to share, send me a mail, and I will add them to the above list.

Further functionality is expected to be ported according to the ROADMAP.

Documentation

  1. You can find the included package documentation online.

  2. The original MATLAB Toolbox provides in-depth documentation, which is very useful to understand what the toolbox is capable of. See DSToolbox.pdf and OnePageStory.pdf (PDF warning).

  3. The book:

Richard Schreier, Gabor C. Temes, Understanding Delta-Sigma Data Converters, ISBN: 978-0-471-46585-0, November 2004, Wiley-IEEE Press

is probably the most authoritative resource on the topic. Chapter 8-9 show how to use the MATLAB toolkit and the observations apply also to this Python port. Links on amazon, on the Wiley-IEEE press.

I am not affiliated with neither the sellers nor the authors.

CHANGES

Version 0.1 series

The 0.1 series features support for (real) baseband and passband modulator topologies.

0.1-1: Bugfix: most importantly fix realizeNTF_ct().

  • deltasigma/_realizeNTF_ct.py: Fixes for multi-timing, add unit tests for FB.

  • deltasigma/_pulse.py: Bugfix (reshape missing assignment), fix documentation formatting.

  • deltasigma/_bilogplot.py: Fix plot. Add unit test.

  • deltasigma/_rmsGain.py: Fix docstring.

  • deltasigma/_lollipop.py: Use matplotlib’s stem function. Enforce PEP8. Add support for color ‘None’.

0.1: Bugfix: missing copy() in mapABCD().

0.1rc4 : Multiple bugfixes. Py3k fixes. Test coverage up to 85+%.

0.1rc3 : Fix file-not-found issue with setup.py.

0.1rc2 : Fix travis and coveralls.io support.

0.1rc1 : Initial release

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