89 citations · 317 across the 13 of their papers we have counts for
6 papers · 1 filter
Third-Order Statistics Reconstruction from Compressive Measurements
Yanbo Wang, Zhi Tian
Estimation of third-order statistics relies on the availability of a huge amount of data records, which can pose severe challenges on the data collecting hardware in terms of consi…
Super-Resolution Channel Estimation for Arbitrary Arrays in Hybrid Millimeter-Wave Massive MIMO Systems
Yue Wang, Yu Zhang, Zhi Tian +2
This paper develops efficient channel estimation techniques for millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) systems under practical hardware limitations,…
A Hybrid Neural Network Framework and Application to Radar Automatic Target Recognition
Zhe Zhang, Xiang Chen, Zhi Tian
Deep neural networks (DNNs) have found applications in diverse signal processing (SP) problems. Most efforts either directly adopt the DNN as a black-box approach to perform certai…
ANM-PhaseLift: Structured Line Spectrum Estimation from Quadratic Measurements
Zhe Zhang, Zhi Tian
PhaseLift is a noted convex optimization technique for phase retrieval that can recover a signal exactly from amplitude measurements only, with high probability. Conventional Phase…
Low-complexity optimization for Two-Dimensional Direction-of-arrival Estimation via Decoupled Atomic Norm Minimization
Zhi Tian, Zhe Zhang, Yue Wang
This paper presents an efficient optimization technique for super-resolution two-dimensional (2D) direction of arrival (DOA) estimation by introducing a new formulation of atomic n…
Efficient Two-Dimensional Line Spectrum Estimation Based on Decoupled Atomic Norm Minimization
Zhe Zhang, Yue Wang, Zhi Tian
This paper presents an efficient optimization technique for gridless {2-D} line spectrum estimation, named decoupled atomic norm minimization (D-ANM). The framework of atomic norm…