A new approach to audio coding based on optimization techniques is presented. In contrast to existing coding algorithms, this framework is based on a signal-adaptive filter bank which is controlled using optimization techniques for a rate distortion or perceptual metric. Dynamic programming techniques allow one to optimize the time-frequency tiling of the filter bank and to minimize the distortion for a given bit budget.

Authors: Erne, Markus; Moschytz, George
Affiliation: Institute for Signal- and Information Processing, Zirich, Switzerland
AES Conference: 17th International Conference: High-Quality Audio Coding (September 1999)
Paper Number: 17-022
Publication Date: September 1, 1999 Import into BibTeX
Subject: High Quality Audio Coding
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=8066

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