Dynamic Coding Scheme



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Dynamic Coding Scheme

Let be a finite alphabet with . Given a binary string (we also assume that starts with 1), Gurevich [Gur91] designed a dynamic binary coding scheme to code such that the following statements hold.

  1. The length of each coded symbol is .

  2. String (not coded) is distinguishable from each coded symbol. In other words, no coded symbol can be a substring of .

  3. If a nonempty suffix of a coded symbol is a prefix of a coded symbol , then .

  4. can be written as a unique concatenation of the following fixed binary strings 1, 10, 000, 100, which are not prefixes of any coded symbol.

The four strings 1, 10, 000, 100 are called base strings [Wan95a]. Gurevich [Gur91] originally used strings 1, 10, 00, and 000 as base strings, which, in general, does not form a unique concatenation for strings beginning with 1.

The construction of such a coding system can be done as follows. Let be the regular set . Let be the least even integer such that . Hence, . The string has at most substrings of length . So we can select a set of -strings of length such that , no string in is a substring of , and every string in starts with 01. Moreover, from it is straightforward to show that the third condition also holds [Gur91]. To see that the fourth condition is satisfied, let be a string which does not start with 01 and is different from 0, then it is straightforward to show by induction that forms a unique concatenation from the base strings. Note that the last two conditions enable coding without recoding the 0's and 1's in other already coded symbols.

So we can use to code by assigning one element in to represent one symbol in , and this dynamic coding scheme satisfies all of the above four conditions.



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Next: Distributional Post Correspondence Up: Completeness Proofs (Part Previous: Completeness Proofs (Part



Jie Wang
Mon Feb 3 15:13:50 EST 1997