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Simulation of Low Density Parity Check (LDPC) Codes

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Simulation of LDPC Codes & Applications

version 0.7.9


  • Simulation of regular LDPC codes.

  • Probabilistic decoding: Belief Propagation algorithm for gaussian white noise transmission.

  • Simulation application to image and audio data.

Image coding-decoding example:

An example of coding-decoding is available at the pyldpc webpage.


If you already have a working Python environment (Anaconda for e.g):

pip install --upgrade pyldpc

Otherwise, we recommend creating this minimal conda env

conda env create --file environment.yml
conda activate pyldpc-env
pip install -U pyldpc


>>> import numpy as np
>>> from pyldpc import make_ldpc, encode, decode, get_message
>>> n = 15
>>> d_v = 4
>>> d_c = 5
>>> snr = 20
>>> H, G = make_ldpc(n, d_v, d_c, systematic=True, sparse=True)
>>> k = G.shape[1]
>>> v = np.random.randint(2, size=k)
>>> y = encode(G, v, snr)
>>> d = decode(H, y, snr)
>>> x = get_message(G, d)
>>> assert abs(x - v).sum() == 0


For more examples, see the pyldpc webpage.

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