no code implementations • 17 Feb 2023 • Yao Ge, Qinwen Deng, David González G., Yong Liang Guan, Zhi Ding
This paper investigates an uplink coordinated multi-point (CoMP) coverage scenario, in which multiple mobile users are grouped for sparse code multiple access (SCMA), and served by the remote radio head (RRH) in front of them and the RRH behind them simultaneously.
no code implementations • 29 Nov 2021 • Songyang Zhang, Qinwen Deng, Zhi Ding
One important task of hyperspectral image (HSI) processing is the extraction of spectral-spatial features.
no code implementations • 31 Aug 2021 • Songyang Zhang, Qinwen Deng, Zhi Ding
Graph signal processing (GSP) has become an important tool in image processing because of its ability to reveal underlying data structures.
1 code implementation • 31 Aug 2021 • Songyang Zhang, Qinwen Deng, Zhi Ding
To generalize traditional graph signal processing (GSP) over multilayer graphs for analyzing multi-level signal features and their interactions, this work proposes a tensor-based framework of multilayer graph signal processing (M-GSP).
no code implementations • 11 Mar 2021 • Qinwen Deng, Songyang Zhang, Zhi Ding
Efficient processing and feature extraction of largescale point clouds are important in related computer vision and cyber-physical systems.
no code implementations • 12 Feb 2021 • Qinwen Deng, Songyang Zhang, Zhi Ding
By directly estimating hypergraph spectrum based on hypergraph stationary processing, we design a spectral kernel-based filter to capture high-dimensional interactions among point signal nodes and to better preserve object surface outlines.