Next Article in Journal
An Interval-Valued Intuitionistic Fuzzy MADM Method Based on a New Similarity Measure
Previous Article in Journal
Effects of Semantic Features on Machine Learning-Based Drug Name Recognition Systems: Word Embeddings vs. Manually Constructed Dictionaries
Article Menu

Export Article

Open AccessArticle
Information 2015, 6(4), 866-879; doi:10.3390/info6040866

Codeword Structure Analysis for LDPC Convolutional Codes

1,2,* , 1
,
1,2
and
1
1
Jiangsu Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science and Technology, Ningliu Road No. 219, Nanjing 210044, China
2
Jiangsu Collaborative Innovation Centre on Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Ningliu Road No. 219, Nanjing 210044, China
*
Author to whom correspondence should be addressed.
Academic Editor: Willy Susilo
Received: 16 September 2015 / Revised: 19 November 2015 / Accepted: 8 December 2015 / Published: 14 December 2015
View Full-Text   |   Download PDF [246 KB, uploaded 14 December 2015]   |  

Abstract

The 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
Keywords: low-density parity-check convolutional codes (LDPC-CCs); structured codewords; non-structured codewords; distance spectrum low-density parity-check convolutional codes (LDPC-CCs); structured codewords; non-structured codewords; distance spectrum
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Zhou, H.; Feng, J.; Li, P.; Xia, J. Codeword Structure Analysis for LDPC Convolutional Codes. Information 2015, 6, 866-879.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Information EISSN 2078-2489 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top