DocumentCode
931710
Title
Combinatorial properties of good codes for binary autoregressive sources (Corresp.)
Author
Delsarte, Philippe ; Piret, Philippe
Volume
26
Issue
3
fYear
1980
fDate
5/1/1980 12:00:00 AM
Firstpage
341
Lastpage
345
Abstract
Let
be a binary autoregressive source to be encoded within a specified Hamming distortion
. A binary
-tuple is called
-central if it is at distance
from at least
typical sequences produced by the source
. It is first shown that, in the region where the Shannon rate-distortion bound is achieved, there exist "good codes" consisting only of
-central words. Next, the characterization problem is studied; the basic conjecture is that a central sequence is well-characterized by its level, which is the Hamming weight of an image sequence. The problem is solved for the memoryless source. In general, if
is defined to be the mean number of typical
-tuples at distance
from the
-tuples of level
, then it is shown that
becomes arbitrarily close to
for an explicitly determined unique value of
.
be a binary autoregressive source to be encoded within a specified Hamming distortion
. A binary
-tuple is called
-central if it is at distance
from at least
typical sequences produced by the source
. It is first shown that, in the region where the Shannon rate-distortion bound is achieved, there exist "good codes" consisting only of
-central words. Next, the characterization problem is studied; the basic conjecture is that a central sequence is well-characterized by its level, which is the Hamming weight of an image sequence. The problem is solved for the memoryless source. In general, if
is defined to be the mean number of typical
-tuples at distance
from the
-tuples of level
, then it is shown that
becomes arbitrarily close to
for an explicitly determined unique value of
.Keywords
Autoregressive processes; Rate-distortion theory; Binary codes; Distortion measurement; Entropy; Feedback circuits; Hamming distance; Hamming weight; Image sequences; Information theory; Rate-distortion;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.1980.1056199
Filename
1056199
Link To Document