Codeword Structure Analysis for LDPC Convolutional Codes
AbstractThe codewords of a low-density parity-check (LDPC) convolutional code (LDPC-CC) are characterised into structured and non-structured. The number of the structured codewords is dominated by the size of the polynomial syndrome former matrix H T ( D ) , while the number of the non-structured ones depends on the particular monomials or polynomials in H T ( D ) . By evaluating the relationship of the codewords between the mother code and its super codes, the low weight non-structured codewords in the super codes can be eliminated by appropriately choosing the monomials or polynomials in H T ( D ) , resulting in improved distance spectrum of the mother code. View Full-Text
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Zhou, H.; Feng, J.; Li, P.; Xia, J. Codeword Structure Analysis for LDPC Convolutional Codes. Information 2015, 6, 866-879.
Zhou H, Feng J, Li P, Xia J. Codeword Structure Analysis for LDPC Convolutional Codes. Information. 2015; 6(4):866-879.Chicago/Turabian Style
Zhou, Hua; Feng, Jiao; Li, Peng; Xia, Jingming. 2015. "Codeword Structure Analysis for LDPC Convolutional Codes." Information 6, no. 4: 866-879.