Lower Bounds on the Graphical Complexity of Finite-Length LDPC Codes

被引:0
作者
Sason, Igal [1 ]
机构
[1] Technion Israel Inst Technol, Dept Elect Engn, IL-32000 Haifa, Israel
来源
2009 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY, VOLS 1- 4 | 2009年
关键词
Bipartite graphs; complexity; low-density parity-check (LDPC) codes; memoryless binary-input output-symmetric (MBIOS) channels; CAPACITY-ACHIEVING ENSEMBLES; PARITY-CHECK DENSITY; LINEAR BLOCK-CODES; ERROR-PROBABILITY; ERASURE CHANNEL; PERFORMANCE;
D O I
10.1109/ISIT.2009.5205822
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper considers information-theoretic lower bounds on the graphical complexity of finite-length LDPC codes. It is assumed that the transmission of the codes takes place over a memoryless binary-input output-symmetric (MBIOS) channel, and the bounds are expressed as a function of the code performance and their achievable gap to capacity (either under ML decoding or any sub-optimal decoding algorithm). The lower bounds on the graphical complexity are compared to some explicit LDPC codes (or code ensembles), showing that these bounds are informative for considering the fundamental tradeoff which exists between the performance and graphical complexity of finite-length LDPC codes. This work relies on the full paper version [15].
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页码:219 / 223
页数:5
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