4 papers
Efficient Sparse Coding using Hierarchical Riemannian Pursuit
Ye Xue, Vincent Lau, Songfu Cai
Sparse coding is a class of unsupervised methods for learning a sparse representation of the input data in the form of a linear combination of a dictionary and a sparse code. This…
Line-of-Sight MIMO for High Capacity Millimeter Wave Backhaul in FDD Systems
Ye Xue, Xuanyu Zheng, Vincent Lau
Wireless backhaul is considered to be the key part of the future wireless network with dense small cell traffic and high capacity demand. In this paper, we focus on the design of a…
Blind Data Detection in Massive MIMO via -norm Maximization over the Stiefel Manifold
Ye Xue, Yifei Shen, Vincent Lau +2
Massive MIMO has been regarded as a key enabling technique for 5G and beyond networks. Nevertheless, its performance is limited by the large overhead needed to obtain the high-dime…
Complete Dictionary Learning via -norm Maximization
Yifei Shen, Ye Xue, Jun Zhang +2
Dictionary learning is a classic representation learning method that has been widely applied in signal processing and data analytics. In this paper, we investigate a family of $\el…