A source coding algorithm based on the classic Markov model is presented, which uses Vector Quantization and arithmetic coding in conjunction with a dynamically adapted context of previously coded vector indices. The core of this algorithm is the numerically optimized mapping from a large number of source states to a small number of different code tables. This enables its application to audio coding, where it provides higher efficiency than the quantization and lossless coding used in MPEG-AAC.

Authors: Edler, Bernd; Meine, Nikolaus
Affiliation: University of Hannover
AES Convention: 118 (May 2005) Paper Number: 6468
Publication Date: May 1, 2005 Import into BibTeX
Subject: Low Bit Rate Audio Coding (Research)
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=13184

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