the permuted string into many parts and encodes symbols using different arithmetic codes by the parts. Each part has symbols whose contexts are the same. If the permutation is random, the scheme is asymptotically optimal for any finite-order Markov source. The permutation in the BWT is not completely random. For example, if three or more contexts are the same and they overlap each other, symbols following them appear in the permuted string in original order or its reversal. However, we conjecture that the permuted string is memoryless and our schemes work. Reference
We describe an algorithm computing an optimal prefix free code for n unsorted positive weights in le...
AbstractGiven a permutation π, a block-move is an operation that switches two adjacent blocks of ele...
AbstractMany applications call for universal compression of strings over large, possibly infinite, a...
We investigate lossy compression (source coding) of data in the form of permutations. This problem h...
It has long been known that the compression redundancy of independent and identically distributed (i...
In this paper, we investigate the problem of compression of data that are in the form of permutation...
The problem of storing permutations in a distributed manner arises in several common scenarios, such...
Recent work has considered encoding a string by separately conveying its symbols and its pattern—the...
The Block Sorting problem is to sort a given permutation moving blocks. A block is defined as a subs...
The Burrows-Wheeler Transform (also known as Block-Sorting) is at the base of compression algorithms...
Ahlswede R, Kaspi AH. Optimal coding strategies for certain permuting channels. IEEE transactions on...
We introduce a combinatorial optimization framework that naturally induces a class of optimal word p...
Permutation codes have been extensively investigated, both because of their intrinsic mathematical i...
Ahlswede R, Dueck G. Good codes can be produced by a few permutations. IEEE transactions on informat...
AbstractWe introduce a combinatorial optimization framework that naturally induces a class of optima...
We describe an algorithm computing an optimal prefix free code for n unsorted positive weights in le...
AbstractGiven a permutation π, a block-move is an operation that switches two adjacent blocks of ele...
AbstractMany applications call for universal compression of strings over large, possibly infinite, a...
We investigate lossy compression (source coding) of data in the form of permutations. This problem h...
It has long been known that the compression redundancy of independent and identically distributed (i...
In this paper, we investigate the problem of compression of data that are in the form of permutation...
The problem of storing permutations in a distributed manner arises in several common scenarios, such...
Recent work has considered encoding a string by separately conveying its symbols and its pattern—the...
The Block Sorting problem is to sort a given permutation moving blocks. A block is defined as a subs...
The Burrows-Wheeler Transform (also known as Block-Sorting) is at the base of compression algorithms...
Ahlswede R, Kaspi AH. Optimal coding strategies for certain permuting channels. IEEE transactions on...
We introduce a combinatorial optimization framework that naturally induces a class of optimal word p...
Permutation codes have been extensively investigated, both because of their intrinsic mathematical i...
Ahlswede R, Dueck G. Good codes can be produced by a few permutations. IEEE transactions on informat...
AbstractWe introduce a combinatorial optimization framework that naturally induces a class of optima...
We describe an algorithm computing an optimal prefix free code for n unsorted positive weights in le...
AbstractGiven a permutation π, a block-move is an operation that switches two adjacent blocks of ele...
AbstractMany applications call for universal compression of strings over large, possibly infinite, a...