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scikit-sdr
scikit-sdr is a Python 3 library that provides algorithms for building digital communication systems and for experimenting with DSP and SDR. The structure of the library is as follows:
sksdr: source code for algorithmstests: units tests using the pytest frameworkdemo: demonstrations using Jupyter notebooksgnuradio: GNU Radio wrappers contained in an OOT module (gnuradio/gr-grsksdr) and some demonstration flowgraphs (gnuradio/demo)docs: Sphinx documentation
Some of this work as been inspired and/or based of other libraries such as komm and scikit-dsp-comm. Other sources include the books:
- "Digital Communications: A Discrete-time Approach" by Michael Rice
- "Understanding Digital Signal Processing" by Richard G. Lyons
- "Digital Signal Processing: Principles, Algorithms and Applications" by John G. Proakis and Dimitris G. Manolakis
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Release files for scikit-sdr 0.3.dev1
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Source distribution (sdist)
| File | Size | Uploaded | |
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| scikit-sdr-0.3.dev1.tar.gz | 19.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
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| scikit_sdr-0.3.dev1-py3.6.egg | Legacy Egg format | - | - | Details |
Total release size: 81.5 kB
Release files / scikit-sdr-0.3.dev1.tar.gz
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Release files / scikit_sdr-0.3.dev1-py3.6.egg
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