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Simulation of Low Density Parity Check Codes ldpc

Project description

version 0.7.6

In Brief:

  • Generates coding and decoding matrices.
  • Probabilistic decoding: Belief Propagation algorithm.
  • Images transmission simulation (channel model: AGWN).
  • Sound transmission simulation (channel model :AGWN).

Image coding-decoding example:

https://media.giphy.com/media/l4KicsAauqIWjeFR6/giphy.gif https://media.giphy.com/media/l0COHC49bK6g7yIPm/giphy.gif

Sound coding-decoding example:

Sound Transmission

Installation

>From pip:

$ pip install --upgrade pyldpc

version 0.7.3

Contains:
  1. Coding and decoding matrices Generators:
    • Regular parity-check matrix using Callager’s method.
    • Coding Matrix G both non-systematic and systematic.
  2. Coding function adding Additive White Gaussian Noise.
  3. Decoding functions using Probabilistic Decoding (Belief propagation algorithm):
    • Default and full-log BP algorithm.
  4. Images transmission sub-module:
    • Coding and Decoding Grayscale and RGB Images.
  5. Sound transmission sub-module:
    • Coding and Decoding audio files.
  6. Compatibility numpy ndarrays <=> scipy sparse csr format.
What’s new:
  • Python 2 compatibility

In the upcoming versions:

  • Library of ready-to-use large matrices (csr).
  • Text Transmission functions.

Contact:

Please contact hicham.janati@ensae.fr for any bug encountered / any further information.

Project details


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Filename, size & hash SHA256 hash help File type Python version Upload date
pyldpc-0.7.6-py2.py3-none-any.whl (19.9 kB) Copy SHA256 hash SHA256 Wheel py2.py3 Jun 9, 2017
pyldpc-0.7.6.tar.gz (15.4 kB) Copy SHA256 hash SHA256 Source None Jun 9, 2017

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