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Pre-release

This release is a pre-release and may not be stable for production use.

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

0.1rc1

Initial release

0.1rc2

Fix travis and coveralls.io support.

0.1rc3

Fix file-not-found issue with setup.py

0.1rc4

General bugfixes. Py3k fixes. Test coverage up to 85%.

Metadata

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