Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/26468
- Title
- Moving horizon optimal quantizer for audio signals
- Author/Creator
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Goodwin, Graham C.;
Quevedo, Daniel E.;
McGrath, D.
- Description
- 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.
- Relation
- Journal of the Audio Engineering Society Vol. 51, Issue 3, p. 138-149
- Relation
- http://www.aes.org/journal/toc/AES-Mar2003TOC.html
- Date
- 2003
- Publisher
- Audio Engineering Society
- Keyword(s)
-
horizon optimal quantizer;
audio signals;
MHOQ;
moving-horizon optimal quantizer;
computational complexity
- Resource Type
- journal article
- Identifier
- http://hdl.handle.net/1959.13/26468
- Identifier
- ISSN:1549-4950
- Reviewed
- Full Text
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