The paper presents a detailed description of the EZK algorithm, a version of zerotree quantization developed by the authors, and describes why it provides higher compression than the alternatives. The performance of the algorithm using several alternative transforms is compared, and the incorporation of psychoacoustic modeling is described. Finally, the performance of the codec with some alternatives is compared.

Authors: Leslie, Ben; Dunn, Chris; Sandler, Mark
Affiliation: Department of Electronic Engineering, King's College, Strand, London, England
AES Conference: 17th International Conference: High-Quality Audio Coding (September 1999)
Paper Number: 17-026
Publication Date: September 1, 1999
Subject: High Quality Audio Coding

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