Simulation of Low Density Parity Check (LDPC) Codes
Project description
Simulation of LDPC Codes & Applications
version 0.7.9
Description:
- 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.
Installation
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
Example
>>> 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
Documentation
For more examples, see the pyldpc webpage.
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Filename, size | File type | Python version | Upload date | Hashes |
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Filename, size pyldpc-0.7.9.tar.gz (1.1 MB) | File type Source | Python version None | Upload date | Hashes View |