2006 IEEE Information Theory Workshop - ITW '06 Chengdu 2006
DOI: 10.1109/itw2.2006.323784
|View full text |Cite
|
Sign up to set email alerts
|

Non-binary adaptive LDPC codes for frequency selective channels: code construction and iterative decoding

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
5
0

Year Published

2007
2007
2018
2018

Publication Types

Select...
5
3

Relationship

2
6

Authors

Journals

citations
Cited by 10 publications
(5 citation statements)
references
References 26 publications
0
5
0
Order By: Relevance
“…Principles of this extension to the non-binary case are implicit from Chapter 5 of [16] with the use of the z-transform. Nevertheless, we give here the exact expression of the probability of a sum of prime random symbols modulo p. This expression is directly related to Hartmann-Rudolph symbol-by-symbol probabilistic decoding [24] in the special case of a single-parity check code and its generalization to characteristic p [25].…”
Section: Sum Of Random Variables In a Prime Fieldmentioning
confidence: 99%
“…Principles of this extension to the non-binary case are implicit from Chapter 5 of [16] with the use of the z-transform. Nevertheless, we give here the exact expression of the probability of a sum of prime random symbols modulo p. This expression is directly related to Hartmann-Rudolph symbol-by-symbol probabilistic decoding [24] in the special case of a single-parity check code and its generalization to characteristic p [25].…”
Section: Sum Of Random Variables In a Prime Fieldmentioning
confidence: 99%
“…q 2 transitions in the syndrome trellis representing a check node instead of p 2 . If a field structure replaces the ring structure, a fast transform of q log q is much appreciable than p log p [18] [19].…”
Section: Codebook Mapping and Uncoded Error Ratementioning
confidence: 99%
“…However, non-binary LDPC codes suffer from the disadvantage of having an increased number of possible values, which renders the classification of symbols more complex and hence naturally increases the decoding complexity imposed. Non-binary codes have been applied for transmission over non-dispersive Rayleigh fading channels [52], over frequency selective channels [53] and multiple-input multiple-output (MIMO) channels [54]- [57]. The results in [51] were also substantiated by Hu et al [58], who proposed a construction for irregular non-binary LDPC codes defined over GF(q) constructed using the so-called progressive edge growth (PEG) algorithm and demonstrated that the performance of these codes improves upon increasing the Galois field size 2 q .…”
Section: Low-density Parity-check Codesmentioning
confidence: 99%