AES E-Library

Moving-Horizon Optimal Quantizer for Audio Signals

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.

Authors: Goodwin, Graham C.; Quevedo, Daniel E.; McGrath, David
Affiliations: School of Electrical Engineering and Computer Science, University of Newcastle, Callaghan,, Australia ; Lake Technology Ltd., Ultimo, Australia(See document for exact affiliation information.)
JAES Volume 51 Issue 3 pp. 138-149; March 2003 Import into BibTeX

Click to purchase paper or login as an AES member. If your company or school subscribes to the AES Journal then you can look for this paper in the institutional version of the Online Journal. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!

This paper costs $20 for non-members, $5 for AES members and is free for E-Library subscribers.

Learn more about the AES E-Library

E-Library Location: (CD aes20)   /jrnl2003/2003/0138.pdf

Start a discussion about this paper!