378 citations · 2.2k across the 69 of their papers we have counts for
5 papers · 1 filter
Joint Sparsity Recovery for Spectral Compressed Sensing
Yuejie Chi
Compressed Sensing (CS) is an effective approach to reduce the required number of samples for reconstructing a sparse signal in an a priori basis, but may suffer severely from the…
Exact and Stable Covariance Estimation from Quadratic Sampling via Convex Programming
Yuxin Chen, Yuejie Chi, Andrea Goldsmith
Statistical inference and information processing of high-dimensional data often require efficient and accurate estimation of their second-order statistics. With rapidly changing da…
Spectral Compressed Sensing via Structured Matrix Completion
Yuxin Chen, Yuejie Chi
The paper studies the problem of recovering a spectrally sparse object from a small number of time domain samples. Specifically, the object of interest with ambient dimension i…
Robust Spectral Compressed Sensing via Structured Matrix Completion
Yuxin Chen, Yuejie Chi
The paper explores the problem of \emph{spectral compressed sensing}, which aims to recover a spectrally sparse signal from a small random subset of its time domain samples. Th…
Compressive Demodulation of Mutually Interfering Signals
Yuejie Chi, Yao Xie, Robert Calderbank
Multi-User Detection is fundamental not only to cellular wireless communication but also to Radio-Frequency Identification (RFID) technology that supports supply chain management.…