Quantization with Signal Adding Noise Shaping Using Long Range Look-Ahead Optimization
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A. Yoneya, "Quantization with Signal Adding Noise Shaping Using Long Range Look-Ahead Optimization," Paper 9999, (2018 May.). doi:
A. Yoneya, "Quantization with Signal Adding Noise Shaping Using Long Range Look-Ahead Optimization," Paper 9999, (2018 May.). doi:
Abstract: A re-quantization approach for digital audio signals using noise shaping by extra signal addition is studied. The approach has been proposed by the author but its properties have not been studied well. In this paper, the feature and performance of the approach is investigated. As a result, the noise shaping performance is a little better than the conventional one and perceptual evaluation is superior in terms of the fineness of the sound source image especially when the optimization horizon used in the additional signal calculation is wide. Since a wide horizon requires a lot of computation, a pruning scheme of the optimization is proposed to reduce the calculation time and the amount of computation is evaluated experimentally.
@article{yoneya2018quantization,
author={yoneya, akihiko},
journal={journal of the audio engineering society},
title={quantization with signal adding noise shaping using long range look-ahead optimization},
year={2018},
volume={},
number={},
pages={},
doi={},
month={may},}
@article{yoneya2018quantization,
author={yoneya, akihiko},
journal={journal of the audio engineering society},
title={quantization with signal adding noise shaping using long range look-ahead optimization},
year={2018},
volume={},
number={},
pages={},
doi={},
month={may},
abstract={a re-quantization approach for digital audio signals using noise shaping by extra signal addition is studied. the approach has been proposed by the author but its properties have not been studied well. in this paper, the feature and performance of the approach is investigated. as a result, the noise shaping performance is a little better than the conventional one and perceptual evaluation is superior in terms of the fineness of the sound source image especially when the optimization horizon used in the additional signal calculation is wide. since a wide horizon requires a lot of computation, a pruning scheme of the optimization is proposed to reduce the calculation time and the amount of computation is evaluated experimentally.},}
TY - paper
TI - Quantization with Signal Adding Noise Shaping Using Long Range Look-Ahead Optimization
SP -
EP -
AU - Yoneya, Akihiko
PY - 2018
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2018
TY - paper
TI - Quantization with Signal Adding Noise Shaping Using Long Range Look-Ahead Optimization
SP -
EP -
AU - Yoneya, Akihiko
PY - 2018
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2018
AB - A re-quantization approach for digital audio signals using noise shaping by extra signal addition is studied. The approach has been proposed by the author but its properties have not been studied well. In this paper, the feature and performance of the approach is investigated. As a result, the noise shaping performance is a little better than the conventional one and perceptual evaluation is superior in terms of the fineness of the sound source image especially when the optimization horizon used in the additional signal calculation is wide. Since a wide horizon requires a lot of computation, a pruning scheme of the optimization is proposed to reduce the calculation time and the amount of computation is evaluated experimentally.
A re-quantization approach for digital audio signals using noise shaping by extra signal addition is studied. The approach has been proposed by the author but its properties have not been studied well. In this paper, the feature and performance of the approach is investigated. As a result, the noise shaping performance is a little better than the conventional one and perceptual evaluation is superior in terms of the fineness of the sound source image especially when the optimization horizon used in the additional signal calculation is wide. Since a wide horizon requires a lot of computation, a pruning scheme of the optimization is proposed to reduce the calculation time and the amount of computation is evaluated experimentally.
Author:
Yoneya, Akihiko
Affiliation:
Nagoya Institute of Technology, Nagoya, Aichi-pref., Japan
AES Convention:
144 (May 2018)
Paper Number:
9999
Publication Date:
May 14, 2018Import into BibTeX
Subject:
Posters: Audio Coding and Quality
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=19516