Metadata-Version: 1.1
Name: pyldpc
Version: 0.3
Summary: Simulation of Low Density Parity Check Codes
Home-page: https://github.com/janatiH/pyldpc
Author: Hicham Janati
Author-email: hicham.janati@outlook.fr
License: MIT
Description: PyLDPC  v0.2 - README 
        
        ----------------
        
        Simulation of LDPC Codes 
        Detailed documentation (English) about any function f can be found using help(f).
        
        Jupyter notebook Tutorial (French) is available on 
        https://github.com/janatiH/pyldpc/blob/master/pyLDPC-Presentation.ipynb
        
        -------------------------------------------
        version 0.2:
        
        - Coding and decoding matrices Generators.
        - Coding function adding Additive White Gaussion Noise.
        - Decoding functions using Probabilistic Decoding (Belief propagation algorithm)
        
        ----------------
        
        - Functions: 
        
        RegularH: Generating Regular(n,d_v,d_c) Parity Matrix H using Callager's method
        CodingMatrixG : Finds Coding Matrix G (solves H.G' = 0 ) 
        Coding: Codes a random vector v using Coding matrix G and adds Gaussian Noise. 
        Decoding_BP : Decoding function based on Belief Propagation Algorithm 
        Decoding_logBP : Decoding based on Logarithmic BP Algorithm 
        
        
        - Image Transmission functions coming soon. 
Keywords: codes ldpc image decoding coding callager
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.4
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: MacOS X
Classifier: Framework :: IPython
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Telecommunications Industry
Classifier: Natural Language :: English
Classifier: Natural Language :: French
