Enumerative source encoding
Перечислительное кодирование источника
1973-01-01
SCID: 54.1/yp5xue4n
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binary sequencesconstant-weight sequencesempirical Markov propertyenumerative source codinglexicographic indexing
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Abstract (AI)
LetSbe a given subset of binary n-sequences. We provide an explicit scheme for calculating the index of any sequence inSaccording to its position in the lexicographic ordering ofS. A simple inverse algorithm is also given. Particularly nice formulas arise whenSis the set of alln-sequences of weightkand also whenSis the set of all sequences having a given empirical Markov property. Schalkwijk and Lynch have investigated the former case. The envisioned use of this indexing scheme is to transmit or store the index rather than the sequence, thus resulting in a data compression of(\log\midS\mid)/n.
Key Findings
1
A simple inverse algorithm reconstructs the original sequence from its lexicographic index.
2
An explicit scheme computes the lexicographic index of any binary n-sequence within an arbitrary specified subset S.
3
The method yields particularly convenient formulas for constant-weight sequences and sequences with a specified empirical Markov property.
4
Transmitting or storing the index instead of the sequence provides a compression rate of (log |S|)/n.
Research Object
subsets of binary n-sequences, particularly constant-weight sequences and sequences with a specified empirical Markov property
Research Subject
lexicographic indexing and inverse reconstruction of sequences, with the resulting data-compression rate
Publication Details
Publication Date
1973-01-01
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