462 citations · 1.7k across the 50 of their papers we have counts for
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Grid-less Variational Direction of Arrival Estimation in Heteroscedastic Noise Environment
Qi Zhang, Jiang Zhu, Yuantao Gu +1
Horizontal line arrays are often employed in underwater environments to estimate the direction of arrival (DOA) of a weak signal. Conventional beamforming (CB) is robust but has wi…
Theory of Spectral Method for Union of Subspaces-Based Random Geometry Graph
Gen Li, Yuantao Gu
Spectral Method is a commonly used scheme to cluster data points lying close to Union of Subspaces by first constructing a Random Geometry Graph, called Subspace Clustering. This p…
Compressed Subspace Learning Based on Canonical Angle Preserving Property
Yuchen Jiao, Gen Li, Yuantao Gu
Union of Subspaces (UoS) is a popular model to describe the underlying low-dimensional structure of data. The fine details of UoS structure can be described in terms of canonical a…
Lower Bound for RIP Constants and Concentration of Sum of Top Order Statistics
Gen Li, Xingyu Xu, Yuantao Gu
Restricted Isometry Property (RIP) is of fundamental importance in the theory of compressed sensing and forms the base of many exact and robust recovery guarantees in this field. A…
Unraveling the Veil of Subspace RIP Through Near-Isometry on Subspaces
Xingyu Xv, Gen Li, Yuantao Gu
Dimensionality reduction is a popular approach to tackle high-dimensional data with low-dimensional nature. Subspace Restricted Isometry Property, a newly-proposed concept, has pro…
Minimum Error Entropy Kalman Filter
Badong Chen, Lujuan Dang, Yuantao Gu +2
To date most linear and nonlinear Kalman filters (KFs) have been developed under the Gaussian assumption and the well-known minimum mean square error (MMSE) criterion. In order to…