Abstract
Our main technical result is that, in the coset leader graph of a linear binary code of block length n , the metric balls spanned by constant-weight vectors grow exponentially slower than those in \{0,1\}^{n}. Following the approach of Friedman and Tillich, we use this fact to improve on the first linear programming bound on the rate of low-density parity check (LDPC) codes, as the function of their minimal relative distance. This improvement, combined with the techniques of Ben-Haim and Litsyn, improves the rate versus distance bounds for LDPC codes in a significant subrange of relative distances.
Original language | English |
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Article number | 7114293 |
Pages (from-to) | 4158-4163 |
Number of pages | 6 |
Journal | IEEE Transactions on Information Theory |
Volume | 61 |
Issue number | 8 |
DOIs | |
State | Published - Aug 2015 |
Bibliographical note
Publisher Copyright:© 1963-2012 IEEE.
Keywords
- Hamming weight
- Indexes
- Linear codes
- Measurement
- Parity check codes
- Probability
- Upper bound