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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:

Sound coding-decoding example:

Sound Transmission


>From pip:

$ pip install --upgrade pyldpc

version 0.7.3

  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.


Please contact for any bug encountered / any further information.

Project details

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