39 citations · 88 across the 7 of their papers we have counts for
7 papers
One-Bit Spectrum Sensing for Cognitive Radio
Pei-Wen Wu, Lei Huang, David Ramírez +2
Spectrum sensing in cognitive radio necessitates effective monitoring of wide bandwidths, which requires high-rate sampling. Traditional spectrum sensing methods employing high-pre…
One-Bit Covariance Reconstruction with Non-zero Thresholds: Algorithm and Performance Analysis
Yu-Hang Xiao, Lei Huang, David Ramírez +2
Covariance matrix reconstruction is a topic of great significance in the field of one-bit signal processing and has numerous practical applications. Despite its importance, the con…
Joint Matrix Decomposition for Deep Convolutional Neural Networks Compression
Shaowu Chen, Jiahao Zhou, Weize Sun +1
Deep convolutional neural networks (CNNs) with a large number of parameters require intensive computational resources, and thus are hard to be deployed in resource-constrained plat…
One-Bit Target Detection in Collocated MIMO Radar and Performance Degradation Analysis
Yu-Hang Xiao, David Ramírez, Peter J. Schreier +2
Target detection is an important problem in multiple-input multiple-output (MIMO) radar. Many existing target detection algorithms were proposed without taking into consideration t…
A Survey on Matrix Completion: Perspective of Signal Processing
Xiao Peng Li, Lei Huang, Hing Cheung So +1
Matrix completion (MC) is a promising technique which is able to recover an intact matrix with low-rank property from sub-sampled/incomplete data. Its application varies from compu…
Inexact Alternating Optimization for Phase Retrieval In the Presence of Outliers
Cheng Qian, Xiao Fu, Nicholas D. Sidiropoulos +2
Phase retrieval has been mainly considered in the presence of Gaussian noise. However, the performance of the algorithms proposed under the Gaussian noise model severely degrades w…
Phase Retrieval Using Feasible Point Pursuit: Algorithms and Cramér-Rao Bound
Cheng Qian, Nicholas D. Sidiropoulos, Kejun Huang +2
Reconstructing a signal from squared linear (rank-one quadratic) measurements is a challenging problem with important applications in optics and imaging, where it is known as phase…