Publications in Scientific Journals:
Hua Zhou, N. Görtz:
"Recoverability of Variable Nodes in Periodically Punctured LDPC Convolutional Codes";
IEEE Communications Letters,
19
(2015),
4;
521
- 524.
English abstract:
The concept of transformed codes is introduced to algebraically evaluate the recoverability of punctured nodes for periodically punctured low-density parity-check convolutional codes (LDPC-CCs) by a simple matrix-based approach. The proposed very efficient algorithm allows to identify and exclude those candidate puncturing patterns in a computer search that contain unrecoverable nodes that would lead to bad error-correction performance. Moreover, a novel upper bound on the maximum punctured code rate is obtained, above which any punctured code must contain unrecoverable punctured nodes.
German abstract:
The concept of transformed codes is introduced to algebraically evaluate the recoverability of punctured nodes for periodically punctured low-density parity-check convolutional codes (LDPC-CCs) by a simple matrix-based approach. The proposed very efficient algorithm allows to identify and exclude those candidate puncturing patterns in a computer search that contain unrecoverable nodes that would lead to bad error-correction performance. Moreover, a novel upper bound on the maximum punctured code rate is obtained, above which any punctured code must contain unrecoverable punctured nodes.
Keywords:
LDPC codes, puncturing, cycles
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1109/LCOMM.2015.2404434
Created from the Publication Database of the Vienna University of Technology.