DocumentCode
2390470
Title
On instantaneous codes for zero-error coding of two correlated sources
Author
Yan, Ying-On ; Berger, Toby
Author_Institution
Sch. of Electr. Eng., Cornell Univ., Ithaca, NY, USA
fYear
2000
fDate
2000
Firstpage
344
Abstract
We study the problem of finding zero-error instantaneous codes for the Slepian-Wolf configuration. By a zero-error instantaneous code we mean two encoder maps f1:χ→{0,1}*, f2:Y→{0,1}* and a decoding algorithm which, for any pair of encoder outputs f1(x1)f1(x2 )f1(x3)... and f2(y1)f 2(y2)f2(y3)..., can correctly determine x1 and y1 by reading only the first length (f1(x1)) bits of the X encoder output and the first length (f2(y1)) bits of the Y encoder output. For |χ|=2, we find a necessary and sufficient condition for the existence of a zero-error instantaneous code with a given set of codeword lengths for Y. Using this condition, we derive an upper bound to the minimum expected codeword length for Y and construct a simple example showing that the coding scheme proposed by Kh, Jabri and Al-Issa (1997) is not optimal in general, and more surprisingly, the optimal code may violate the “Morse condition” that the more probable of two symbols never has the longer codeword. For |χ|=3, we find a necessary but not sufficient condition for the existence of a zero-error instantaneous code with a given set of codeword lengths for Y. Moreover, for |χ|⩾3, the existence of such a code is shown to be related to a rectangle packing problem
Keywords
Huffman codes; correlation theory; decoding; source coding; Huffman code; Morse condition; Slepian-Wolf configuration; correlated sources; decoding algorithm; encoder maps; instantaneous codes; minimum expected codeword length; rectangle packing problem; zero-error coding; Decoding; Entropy; Sufficient conditions; Upper bound;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 2000. Proceedings. IEEE International Symposium on
Conference_Location
Sorrento
Print_ISBN
0-7803-5857-0
Type
conf
DOI
10.1109/ISIT.2000.866642
Filename
866642
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