DocumentCode
920488
Title
Two-step encoding for finite sources
Author
Korner, Janos ; Longo, Giuseppe
Volume
19
Issue
6
fYear
1973
fDate
11/1/1973 12:00:00 AM
Firstpage
778
Lastpage
782
Abstract
Any finite information source is given a graph structure, in which two vertices are adjacent whenever the two corresponding source letters are distinguishable by the coder-decoder pair. Usual sources correspond, therefore, to complete graphs. If the associated graph is not complete, however, an
-code for the source can be constructed in two steps: in the first, distinct codewords are given to distinguishable letters only; in the second step, a similar encoding is carried out for the complementary graph, in which distinguishable letters become indistinguishable and the converse. A particularly simple case shows up when nonadjacency is an equivalence relation among the vertices of the graph: each class of nondistinguishable letters can then be considered as a letter in a coarser source alphabet. The two-step procedure is then particularly intuitive. A problem arises when this procedure does not destroy optimality of the resulting
-code; some partial results are given in this direction. The results obtained are largely based on some graph-theoretical ideas and tools.
-code for the source can be constructed in two steps: in the first, distinct codewords are given to distinguishable letters only; in the second step, a similar encoding is carried out for the complementary graph, in which distinguishable letters become indistinguishable and the converse. A particularly simple case shows up when nonadjacency is an equivalence relation among the vertices of the graph: each class of nondistinguishable letters can then be considered as a letter in a coarser source alphabet. The two-step procedure is then particularly intuitive. A problem arises when this procedure does not destroy optimality of the resulting
-code; some partial results are given in this direction. The results obtained are largely based on some graph-theoretical ideas and tools.Keywords
Graph theory; Source coding; Automation; Codecs; Councils; Encoding; Graph theory;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.1973.1055109
Filename
1055109
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