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The excellent performance of convolutional low-density parity-check codes is the result of the spatial coupling of individual underlying codes across a window of growing size, but much smaller than the length of the individual codes.
1966
Earlier work this paper cites.
A. J. Felstrom, K. S. Zizangirov,“Time-varying periodic convolutional codes with low density parity check matrix” in IEEE Trans. inform. Theory
1999
Earlier work this paper cites.
K. Engdahl, K. S. Zizangirov, “On the theory of low density convolutional codes I”, in Problemy Peredachi Informatsii
1999
Earlier work this paper cites.
M. Lentmaier, D. V. Truhachev, K. S. Zizangirov, ”To the theory of low-density convolutional codes ii“, in Probl. Inf. Transm
2001
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R. Mulet, A. Pagnani, M. Weigt, R. Zecchina, ”Coloring random graphs“, in Phys. rev. Lett
2002
Cited alongside, same era.
M. Mézard, G. Parisi, ”The cavity method at zero temperature“, in J. Stat. Phys
2003
Cited alongside, same era.
R. M Tanner, D. Sridhara, A. Sridhrara, T. E. Fuja, D. J. Costello, ”Ldpc block and convolutional codes based on circulant matrices“, in IEEE Trans. inform. Theory
2004
Cited alongside, same era.
S. Mertens, M. Mézard, R. Zecchina, ”Threshold values of random K-SAT from the cavity method“, in Rand. Struct. and Algorithms
2006
Later among the works it cites.
M. Lentmaier, G. P. Fettweis, K. S. Zizangirov, D. J. Costello, ”Approaching capacity with asymptotically regular ldpc codes“, in Information theory and Applications
2009
Later among the works it cites.
2010
Later among the works it cites.
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