TY - JOUR
T1 - An improved PCA-based multi-channel audio coding scheme
AU - Li, Huinan
AU - Zhao, Shenghui
AU - Hou, Jingyu
N1 - Publisher Copyright:
© 2021 The Authors. Published by Elsevier B.V.
PY - 2021
Y1 - 2021
N2 - In recent years, multi-channel audio coding has become an important research area with the rapid development of mobile communication. This paper proposes a multi-channel audio coding scheme based on adaptive channel grouping and an improved principal component analysis algorithm. The channel grouping algorithm divides a multi-channel audio signal into multiple channel groups according to the correlation coefficient between channels. The improved principal component analysis averages the data to obtain the covariance matrix and it can concentrate the multi-channel audio signal components on as few channels as possible to achieve a reduction in signal dimensions. The experimental results show that the improved scheme achieves a higher reconstructed audio quality compared with the original scheme.
AB - In recent years, multi-channel audio coding has become an important research area with the rapid development of mobile communication. This paper proposes a multi-channel audio coding scheme based on adaptive channel grouping and an improved principal component analysis algorithm. The channel grouping algorithm divides a multi-channel audio signal into multiple channel groups according to the correlation coefficient between channels. The improved principal component analysis averages the data to obtain the covariance matrix and it can concentrate the multi-channel audio signal components on as few channels as possible to achieve a reduction in signal dimensions. The experimental results show that the improved scheme achieves a higher reconstructed audio quality compared with the original scheme.
KW - Adaptive channel grouping
KW - Multi-channel audio coding
KW - Principal Component Analysis (PCA)
UR - http://www.scopus.com/inward/record.url?scp=85104839083&partnerID=8YFLogxK
U2 - 10.1016/j.procs.2021.02.071
DO - 10.1016/j.procs.2021.02.071
M3 - Conference article
AN - SCOPUS:85104839083
SN - 1877-0509
VL - 183
SP - 355
EP - 360
JO - Procedia Computer Science
JF - Procedia Computer Science
T2 - 10th International Conference of Information and Communication Technology, ICICT 2020
Y2 - 13 November 2020 through 15 November 2020
ER -