Universal Class-Based Block Source Coding for Discrete Memoryless Sources

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Authors: Mehdi Dabirnia, Albert Guillén i Fàbregas, Alfonso Martinez
Cited by: 0

Abstract

We introduce a general class-based block source coding framework which, for the case of discrete memoryless sources, is specialized to four different constructions with varying levels of underlying structure in the class definitions. For all the constructions, we show that the matched random coding error exponent is achieved universally with a corresponding universal decoder. Increasing the structure in the classes results in a simpler corresponding universal decoder.

Fields of Study & Subjects

Error Correcting Code Techniques Algorithms and Data Compression Advanced Data Compression Techniques

Publication details

Journal / source
Repository for Publications and Research Data (ETH Zurich)
Publication date
25 February 2026
Language
EN