Quantization with Signal Adding Noise Shaping Using Long Range Look-Ahead Optimization

Yoneya A. Quantization with Signal Adding Noise Shaping Using Long Range Look-Ahead Optimization. In: AES Convention 144. Audio Engineering Society; 2018. Paper 9999. Available from: https://aes.org/publications/elibrary-page/?id=19516

@inproceedings{Yoneya2018_19516,
  author = {Yoneya, Akihiko},
  title = {{Quantization with Signal Adding Noise Shaping Using Long Range Look-Ahead Optimization}},
  booktitle = {AES Convention 144},
  note = {Paper 9999},
  year = {2018},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=19516}
}

TY  - CPAPER
TI  - Quantization with Signal Adding Noise Shaping Using Long Range Look-Ahead Optimization
AU  - Yoneya, Akihiko
T2  - AES Convention 144
M1  - Paper 9999
PY  - 2018
DA  - 2018/05/06
UR  - https://aes.org/publications/elibrary-page/?id=19516
PB  - Audio Engineering Society
LA  - en
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.
ER  -