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Journal Article

Moving-Horizon Optimal Quantizer for Audio Signals

Authors: Goodwin, Graham C.; Quevedo, Daniel E.; McGrath, David

Journal of the Audio Engineering Society · Volume 51 · Issue 3 · pp. 138–149 · March 2003

Abstract

By analyzing the quantization of audio signals as a deterministic finite-set constrained quadratic optimization problem, a new scheme, called moving-horizon optimal quantizer (MHOQ), is developed. The MHOQ includes a model of the ear's sensitivity to low-level noise power and minimizes directly the perceived error over a finite prediction horizon. Feedback is incorporated by means of the moving-horizon principle. With a prediction horizon equal to 1, the MHOQ reduces to the psychoacoustically optimal noise-shaping quantizer, widely used in practical applications. Larger prediction horizons outperform the noise shaper at the expense of only a small increase in computational complexity.

Details

Publication
Journal of the Audio Engineering Society
Volume
51
Issue
3
Pages
138–149
Publication date
March 6, 2003
Affiliation
School of Electrical Engineering and Computer Science, University of Newcastle, Callaghan,, Australia ; Lake Technology Ltd., Ultimo, Australia (See document for exact affiliation information.)
Type
Journal Article