© 2019 IEEE. In this paper we consider the problem of encoding data into repeat-free sequences in which sequences are imposed to contain any k-tuple at most once (for predefined k). First, the capacity and redundancy of the repeat-free constraint are calculated. Then, an efficient algorithm, which uses a single bit of redundancy, is presented to encode length-n sequences for k = 2 + 2 log n. This algorithm is then improved to support any value of k of the form k = a log n, for 1 a ≤ 2, while its redundancy is o(n). Lastly, we also calculate the capacity of this constraint when combined with local constraints which are given by a constrained system
AbstractThe problem of non-distorting compression (or coding) of sequences of symbols is considered....
The classic Hufman Coding Problem of finding a minimum cost prefix-free code is almost completely un...
Most of the attention in statistical compression is given to the space used by the compressed sequen...
The SEQUENCE constraint is useful in modelling car sequencing, rostering, scheduling and related pro...
This paper presents new results on the construction of the length-limited prefix-free codes with th...
Lossless compression over a countable alphabet Lossless compression Mapping messages (sequences of s...
In this paper we study the problem of finding maximally sized subsets of binary strings (codes) of ...
For many kinds of prefix-free codes there are efficient and compact alternatives to the traditional ...
The Optimal Coding problem is a well-known problem in information theory. The aim is for two parties...
AbstractAnswering a question of Körner and Simonyi, this paper gives a strongly consecutive repeat-f...
Presents a detailed result on Franaszek's (1968) principal state method for the generation of run-le...
This paper presents the optimal compression for sequences with unde-fined values. Let we have (N−m) ...
Combinatorics is the branch of mathematics studying the enumeration of sets of elements. It includes...
In this paper we consider the use of variable length non prefix-free codes for coding constrained se...
Abstract — Huffman coding finds an optimal prefix code for a given probability mass function. Consid...
AbstractThe problem of non-distorting compression (or coding) of sequences of symbols is considered....
The classic Hufman Coding Problem of finding a minimum cost prefix-free code is almost completely un...
Most of the attention in statistical compression is given to the space used by the compressed sequen...
The SEQUENCE constraint is useful in modelling car sequencing, rostering, scheduling and related pro...
This paper presents new results on the construction of the length-limited prefix-free codes with th...
Lossless compression over a countable alphabet Lossless compression Mapping messages (sequences of s...
In this paper we study the problem of finding maximally sized subsets of binary strings (codes) of ...
For many kinds of prefix-free codes there are efficient and compact alternatives to the traditional ...
The Optimal Coding problem is a well-known problem in information theory. The aim is for two parties...
AbstractAnswering a question of Körner and Simonyi, this paper gives a strongly consecutive repeat-f...
Presents a detailed result on Franaszek's (1968) principal state method for the generation of run-le...
This paper presents the optimal compression for sequences with unde-fined values. Let we have (N−m) ...
Combinatorics is the branch of mathematics studying the enumeration of sets of elements. It includes...
In this paper we consider the use of variable length non prefix-free codes for coding constrained se...
Abstract — Huffman coding finds an optimal prefix code for a given probability mass function. Consid...
AbstractThe problem of non-distorting compression (or coding) of sequences of symbols is considered....
The classic Hufman Coding Problem of finding a minimum cost prefix-free code is almost completely un...
Most of the attention in statistical compression is given to the space used by the compressed sequen...