Capacity achieving code constructions for two classes of (d,k) constraints
This correspondence presents two variable-rate encoding algorithms that achieve capacity for the (d,k) constraint when k=2d+1, or when k-d+1 is not prime. The first algorithm, symbol sliding, is a generalized version of the bit flipping algorithm introduced by Aviran In addition to achieving capacit...
Saved in:
Published in: | IEEE transactions on information theory Vol. 52; no. 7; pp. 3333 - 3343 |
---|---|
Main Authors: | , |
Format: | Journal Article |
Language: | English |
Published: |
IEEE
01-07-2006
|
Subjects: | |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | This correspondence presents two variable-rate encoding algorithms that achieve capacity for the (d,k) constraint when k=2d+1, or when k-d+1 is not prime. The first algorithm, symbol sliding, is a generalized version of the bit flipping algorithm introduced by Aviran In addition to achieving capacity for (d,2d+1) constraints, it comes close to capacity in other cases. The second algorithm is based on interleaving and is a generalized version of the bit stuffing algorithm introduced by Bender and Wolf. This method uses fewer than k-d biased bit streams to achieve capacity for (d,k) constraints with k-d+1 not prime. In particular, the encoder for (d,d+2/sup m/-1) constraints 2 /spl les/ m < /spl infin/ requires only m biased bit streams. |
---|---|
Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
ISSN: | 0018-9448 1557-9654 |
DOI: | 10.1109/TIT.2006.876224 |