×
ABSTRACT. In this paper, we propose a method for lossy audio signal compression via structured sparse decomposition and com- pressed sensing (CS).
In this paper, we propose a method for lossy audio signal compression via structured sparse decomposition and compressed sensing (CS).
Lossy audio signal compression via structured sparse decomposition and compressed sensing. Sumxin Jiang, Rendong Ying, Zhenqi Lu, Peilin Liu, Zenghui Zhang.
Oct 22, 2024 · This paper proposes a versatile perceptual audio coding method that achieves high compression ratios and is capable of low encoding/decoding ...
Co-authors ; Lossy audio signal compression via structured sparse decomposition and compressed sensing. S Jiang, R Ying, Z Lu, P Liu, Z Zhang. 2014 IEEE ...
This paper describes a new method for lossy audio signal compression via compressive sensing (CS). In this method, a structured shrinkage operator is employed ...
We also propose a new method for lossy audio compression of real, non-sparse audio signals, based on our investigations. The method uses the Modified ...
张增辉,Zhang Zenghui,上海交大研究生院主页平台管理系统, Lossy audio signal compression via structured sparse decomposition and compressed sensing雷达信号处理 ...
Compressed sensing (CS) is a signal processing approach that solves ill-posed inverse problems, from under-sampled data with respect to the Nyquist criterium.
Jan 7, 2016 · The signal is assumed to be “structured”, which typically means that it is sparse in some transform domain. The decoder is expected to recover ...