pyldpc 0.6

Simulation of Low Density Parity Check Codes & Applications

version 0.6

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

Tutorials:

Jupyter notebooks:

• Users’ Guide:

1- LDPC Coding-Decoding Simulation

2- Images Coding-DecodingTutorial

3- Sound Coding-DecodingTutorial

• For LDPC construction details:

1- pyLDPC Construction

2- LDPC Images Functions Construction

3- LDPC Sound Functions Construction

version 0.6

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.

   • BER: Bit Error Rate function.

5. Sound transmission sub-module:

   • Coding and Decoding audio files.

   • BER_audio: Bit Error Rate function.

What’s new:

• Sound sub-module.

In the upcoming versions:

• Optimized Parity Check Matrices.

• Text Transmission functions.

Contact:

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