You are currently logged in as an
Institutional Subscriber.
If you would like to logout,
please click on the button below.
Home / Publications / E-library page
Only AES members and Institutional Journal Subscribers can download
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 (s): Yoneya, Akihiko
Affiliation:
Nagoya Institute of Technology, Nagoya, Aichi-pref., Japan
(See document for exact affiliation information.)
AES Convention: 144
Paper Number:9999
Publication Date:
2018-05-06
Import into BibTeX
Session subject:
Posters: Audio Coding and Quality
Permalink: https://aes2.org/publications/elibrary-page/?id=19516
(1092KB)
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member Join the AES. If you need to check your member status, login to the Member Portal.
Yoneya, Akihiko; 2018; Quantization with Signal Adding Noise Shaping Using Long Range Look-Ahead Optimization [PDF]; Nagoya Institute of Technology, Nagoya, Aichi-pref., Japan; Paper 9999; Available from: https://aes2.org/publications/elibrary-page/?id=19516
Yoneya, Akihiko; Quantization with Signal Adding Noise Shaping Using Long Range Look-Ahead Optimization [PDF]; Nagoya Institute of Technology, Nagoya, Aichi-pref., Japan; Paper 9999; 2018 Available: https://aes2.org/publications/elibrary-page/?id=19516