G. C. Goodwin, D. E. Quevedo, and D. McGrath, “Moving-Horizon Optimal Quantizer for Audio Signals,” J. Audio Eng. Soc., vol. 51, no. 3, pp. 138–149, Mar. 2003.
Goodwin GC, Quevedo DE, McGrath D. Moving-Horizon Optimal Quantizer for Audio Signals. J Audio Eng Soc. 2003;51(3):138-149. Available from: https://aes.org/publications/elibrary-page/?id=12242
@article{Goodwin2003_12242,
author = {Goodwin, Graham C. and Quevedo, Daniel E. and McGrath, David},
title = {{Moving-Horizon Optimal Quantizer for Audio Signals}},
journal = {Journal of the Audio Engineering Society},
volume = {51},
number = {3},
pages = {138--149},
year = {2003},
month = mar,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=12242}
}
TY - JOUR
TI - Moving-Horizon Optimal Quantizer for Audio Signals
AU - Goodwin, Graham C.
AU - Quevedo, Daniel E.
AU - McGrath, David
T2 - Journal of the Audio Engineering Society
J2 - J. Audio Eng. Soc.
VL - 51
IS - 3
SP - 138
EP - 149
PY - 2003
DA - 2003/03/06
UR - https://aes.org/publications/elibrary-page/?id=12242
PB - Audio Engineering Society
LA - en
AB - 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.
ER -