We show that the maximin average redundancy in pattern coding is eventually larger than 1.84 (n/log n)1/3 for messages of length n. This improves recent results on pattern redundancy, although it does not fill the gap between known lower- and upper-bounds. The pattern of a string is obtained by replacing each symbol by the index of its first occurrence. The problem of pattern coding is of interest because strongly universal codes have been proved to exist for patterns while universal message coding is impossible for memoryless sources on an infinite alphabet. The proof uses fine combinatorial results on partitions with small summands
Abstract We offer two noiseless codes for blocks of integers Xn = (X1; : : : ; Xn). We provide expli...
The advantages of the relative redundancy criterion are discussed. Two types of universal codes (by ...
The advantages of the relative redundancy criterion are discussed. Two types of universal codes (by ...
Recent work has considered encoding a string by separately conveying its symbols and its pattern—the...
AbstractMany applications call for universal compression of strings over large, possibly infinite, a...
Abstract—Over the past decade, several papers, e.g., [1–7] and references therein, have considered u...
It has long been known that the compression redundancy of independent and identically distributed (i...
Recent years have seen a resurgence of interest in redundancy of lossless coding. The redundancy (r...
Redundancy of universal codes for a class of sources determines by how much the actual code length e...
AbstractMany applications call for universal compression of strings over large, possibly infinite, a...
In this paper, we settle a long-standing open problem concerning the average redundancy rn of the Le...
Adaptive coding faces the following problem: given a collection of source classes such that each cla...
Key to the success of modern error correcting codes is the effectiveness of message-passing iterativ...
For a linear block code with minimum distance d, its stopping redundancy is the minimum number o...
The advantages of the relative redundancy criterion are discussed. Two types of universal codes (by ...
Abstract We offer two noiseless codes for blocks of integers Xn = (X1; : : : ; Xn). We provide expli...
The advantages of the relative redundancy criterion are discussed. Two types of universal codes (by ...
The advantages of the relative redundancy criterion are discussed. Two types of universal codes (by ...
Recent work has considered encoding a string by separately conveying its symbols and its pattern—the...
AbstractMany applications call for universal compression of strings over large, possibly infinite, a...
Abstract—Over the past decade, several papers, e.g., [1–7] and references therein, have considered u...
It has long been known that the compression redundancy of independent and identically distributed (i...
Recent years have seen a resurgence of interest in redundancy of lossless coding. The redundancy (r...
Redundancy of universal codes for a class of sources determines by how much the actual code length e...
AbstractMany applications call for universal compression of strings over large, possibly infinite, a...
In this paper, we settle a long-standing open problem concerning the average redundancy rn of the Le...
Adaptive coding faces the following problem: given a collection of source classes such that each cla...
Key to the success of modern error correcting codes is the effectiveness of message-passing iterativ...
For a linear block code with minimum distance d, its stopping redundancy is the minimum number o...
The advantages of the relative redundancy criterion are discussed. Two types of universal codes (by ...
Abstract We offer two noiseless codes for blocks of integers Xn = (X1; : : : ; Xn). We provide expli...
The advantages of the relative redundancy criterion are discussed. Two types of universal codes (by ...
The advantages of the relative redundancy criterion are discussed. Two types of universal codes (by ...