Low density parity check matrices for coding of multiple access networks

The paper considers linear matrices for a coding problem for multiple access networks. It is proved that we can construct codes by using sparse matrices, which are also called low density parity check (LDPC) matrices.

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Vydáno v:2003 IEEE Information Theory Workshop : proceedings : La Sorbonne, Paris, France, 31 March-4 April, 2003 s. 304 - 307
Hlavní autoři: Muramatsu, J., Uyematsu, T., Wadayama, T.
Médium: Konferenční příspěvek
Jazyk:angličtina
japonština
Vydáno: IEEE 01.01.2003
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ISBN:0780377990, 9780780377998
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Abstract The paper considers linear matrices for a coding problem for multiple access networks. It is proved that we can construct codes by using sparse matrices, which are also called low density parity check (LDPC) matrices.
AbstractList The paper considers linear matrices for a coding problem for multiple access networks. It is proved that we can construct codes by using sparse matrices, which are also called low density parity check (LDPC) matrices.
Author Muramatsu, J.
Wadayama, T.
Uyematsu, T.
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  surname: Wadayama
  fullname: Wadayama, T.
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PublicationTitle 2003 IEEE Information Theory Workshop : proceedings : La Sorbonne, Paris, France, 31 March-4 April, 2003
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Snippet The paper considers linear matrices for a coding problem for multiple access networks. It is proved that we can construct codes by using sparse matrices, which...
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StartPage 304
SubjectTerms Additive noise
Channel coding
Decoding
Entropy
Error probability
Linear code
Parity check codes
Performance analysis
Source coding
Sparse matrices
Title Low density parity check matrices for coding of multiple access networks
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