Abstract — This paper presents new lower and upper bounds for the optimal compression of binary prefix codes in terms of the most probable input symbol, where compression efficiency is determined by the nonlinear codeword length objective of mini-mizing maximum pointwise redundancy. This objective relates to both universal modeling and Shannon coding, and these bounds are tight throughout the interval. The upper bounds also apply to a related objective, that of dth exponential redundancy. I
Abstract — In prefix coding over an infinite alphabet, methods that consider specific distributions ...
In this paper we consider the compaction of data generated by a binary memoryless source with fixed ...
This paper presents the optimal compression for sequences with unde-fined values. Let we have (N−m) ...
Abstract—This paper presents prefix codes which minimize various criteria constructed as a convex co...
Lossless compression over a countable alphabet Lossless compression Mapping messages (sequences of s...
Recent years have seen a resurgence of interest in redundancy of lossless coding. The redundancy (r...
The advantages of the relative redundancy criterion are discussed. Two types of universal codes (by ...
We characterize the achievable pointwise redundancy rates for lossy data compression at a fixed dist...
We characterize the achievable pointwise redundancy rates for lossy data compression at a fixed dist...
Abstract-If optimality is measured by average codeword length, Huffman's algorithm gives optima...
[[abstract]]In this paper, we consider the exponentially weighted average codeword length introduced...
The problem of constructing minimum-redundancy prefix codes for the general discrete noiseless chann...
Abstract — Let P = {p(i)} be a measure of strictly positive probabilities on the set of nonnegative ...
The problem of constructing minimum-redundancy prefix codes for the general discrete noiseless chann...
[[abstract]]One-to-one codes are nonsingular codes that assign a distinct codeword to each source sy...
Abstract — In prefix coding over an infinite alphabet, methods that consider specific distributions ...
In this paper we consider the compaction of data generated by a binary memoryless source with fixed ...
This paper presents the optimal compression for sequences with unde-fined values. Let we have (N−m) ...
Abstract—This paper presents prefix codes which minimize various criteria constructed as a convex co...
Lossless compression over a countable alphabet Lossless compression Mapping messages (sequences of s...
Recent years have seen a resurgence of interest in redundancy of lossless coding. The redundancy (r...
The advantages of the relative redundancy criterion are discussed. Two types of universal codes (by ...
We characterize the achievable pointwise redundancy rates for lossy data compression at a fixed dist...
We characterize the achievable pointwise redundancy rates for lossy data compression at a fixed dist...
Abstract-If optimality is measured by average codeword length, Huffman's algorithm gives optima...
[[abstract]]In this paper, we consider the exponentially weighted average codeword length introduced...
The problem of constructing minimum-redundancy prefix codes for the general discrete noiseless chann...
Abstract — Let P = {p(i)} be a measure of strictly positive probabilities on the set of nonnegative ...
The problem of constructing minimum-redundancy prefix codes for the general discrete noiseless chann...
[[abstract]]One-to-one codes are nonsingular codes that assign a distinct codeword to each source sy...
Abstract — In prefix coding over an infinite alphabet, methods that consider specific distributions ...
In this paper we consider the compaction of data generated by a binary memoryless source with fixed ...
This paper presents the optimal compression for sequences with unde-fined values. Let we have (N−m) ...