The development of a universal lossy data compression model based on a lossy version of the Kraft inequality was presented. The performance of universal mixture codebooks was presented as an application of the results. The compression perforemance of codes and their distortion level were defined. The lossy Kraft inequality, non asymptotic bounds and pointwise redundancy and the theorems relating to the redundancy of codes generated by mixture codebooks or Bayesian codebooks were proved
We consider the problem of describing the exact compression performance of a classical Shannon rando...
Abstract — Classical rate-distortion theory requires knowledge of an elusive source distribution. In...
In this review paper, we present a development of parts of rate-distortion theory and pattern-matchi...
We characterize the best achievable performance of lossy compression algorithms operating on arbitra...
Abstract—We characterize the best achievable performance of lossy compression algorithms operating o...
Abstract – We characterize the achievable pointwise redundancy rates for lossy data compression at a...
We characterize the achievable pointwise redundancy rates for lossy data compression at a fixed dist...
We introduce a universal quantization scheme based on random coding, and we analyze its performance....
Classical rate-distortion theory requires specifying a source distribution. Instead, we analyze rate...
In the context of lossy compression, Blau \ Michaeli \cite{blau2019rethinking} adopt a mathematical ...
In this paper we discuss on the data compression from the viewpoint of universal lossless source cod...
This paper provides a necessary condition good rate-distortion codes must satisfy. Specifically, it ...
The connection between compression and the estimation of probability distributions has long been kno...
We consider a novel variant of lossy coding in which the distortion measure is revealed only to the ...
We characterize the achievable pointwise redundancy rates for lossy data compression at a fixed dist...
We consider the problem of describing the exact compression performance of a classical Shannon rando...
Abstract — Classical rate-distortion theory requires knowledge of an elusive source distribution. In...
In this review paper, we present a development of parts of rate-distortion theory and pattern-matchi...
We characterize the best achievable performance of lossy compression algorithms operating on arbitra...
Abstract—We characterize the best achievable performance of lossy compression algorithms operating o...
Abstract – We characterize the achievable pointwise redundancy rates for lossy data compression at a...
We characterize the achievable pointwise redundancy rates for lossy data compression at a fixed dist...
We introduce a universal quantization scheme based on random coding, and we analyze its performance....
Classical rate-distortion theory requires specifying a source distribution. Instead, we analyze rate...
In the context of lossy compression, Blau \ Michaeli \cite{blau2019rethinking} adopt a mathematical ...
In this paper we discuss on the data compression from the viewpoint of universal lossless source cod...
This paper provides a necessary condition good rate-distortion codes must satisfy. Specifically, it ...
The connection between compression and the estimation of probability distributions has long been kno...
We consider a novel variant of lossy coding in which the distortion measure is revealed only to the ...
We characterize the achievable pointwise redundancy rates for lossy data compression at a fixed dist...
We consider the problem of describing the exact compression performance of a classical Shannon rando...
Abstract — Classical rate-distortion theory requires knowledge of an elusive source distribution. In...
In this review paper, we present a development of parts of rate-distortion theory and pattern-matchi...