pyldpc 0.3

Simulation of Low Density Parity Check Codes

version 0.4

In Brief:

• Generates coding and decoding matrices.

• Probabilistic decoding: Belief Propagation algorithm.

• Images transmission simulation (AGWN):

e.g of decoding:

Tutorials:

Jupyter notebooks:

• For LDPC construction details: pyLDPC construction

• For Images coding/decoding Tutorial: Images Tutorial

version 0.4:

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 BP algorithm.

   • Full-log BP algorithm.

4. Images transmission sub-module:

   • Coding and Decoding Grayscale Images.

   • Coding and Decoding RGB Images.

What’s new:

• Images sub-module

• Using Signal-Noise-Ratio (SNR) instead of AWGN’s variance.

In the upcoming versions:

In the upcoming versions:

• Irregular Parity Check Matrices.

• Text Transmission functions.

• Sound Transmission functions.

Contact:

Please contact [e-mail] for any bug encountered / any further information.