Lossy compression schemes can be based on a source model, as in the case of speech compression, or a user or sink model, as is somewhat the case in image compression. In this chapter we look at audio ...

Abstract: Communication bottlenecks and the presence of stragglers pose significant challenges in distributed learning (DL). To deal with these challenges, recent advances leverage unbiased ...

Coding, information theory and compression provide a unified framework for quantifying, transmitting and summarising data. At its heart lies the concept of entropy, which measures the average ...

This repository provides code for studying hybrid text compression pipelines that combine transformer-based Large Language Models (LLMs) with Arithmetic Coding (AC). In this framework, an LLM is used ...

Abstract: Traditional video compression coding methods, such as H.26x series and MPEG series standards, have some problems such as low coding efficiency and poor adaptability, and it is difficult to ...

The Layer II coder provides a higher compression rate by making some relatively minor modifications to the Layer I coding scheme. These modifications include how the samples are grouped together, the ...