activity
20122017
most citedA Fast Iterative Algorithm for Recovery of Sparse Signals from One-Bit Quantized Measurements

5 citations · 8 across the 3 of their papers we have counts for

collaborators

5 papers

cs.IT2017

Millimeter Wave Channel Estimation via Exploiting Joint Sparse and Low-Rank Structures

Xingjian Li, Jun Fang, Hongbin Li +1

We consider the problem of channel estimation for millimeter wave (mmWave) systems, where, to minimize the hardware complexity and power consumption, an analog transmit beamforming…

cs.IT2016

Channel Estimation for Millimeter Wave Multiuser MIMO Systems via PARAFAC Decomposition

Zhou Zhou, Jun Fang, Linxiao Yang +3

We consider the problem of uplink channel estimation for millimeter wave (mmWave) systems, where the base station (BS) and mobile stations (MSs) are equipped with large antenna arr…

cs.LG20152 cited

Sparse Bayesian Dictionary Learning with a Gaussian Hierarchical Model

Linxiao Yang, Jun Fang, Hong Cheng +1

We consider a dictionary learning problem whose objective is to design a dictionary such that the signals admits a sparse or an approximate sparse representation over the learned d…

cs.IT20125 cited

A Fast Iterative Algorithm for Recovery of Sparse Signals from One-Bit Quantized Measurements

Jun Fang, Yanning Shen, Hongbin Li

This paper considers the problem of reconstructing sparse or compressible signals from one-bit quantized measurements. We study a new method that uses a log-sum penalty function, a…

cs.IT20121 cited

A New Determinant Inequality of Positive Semi-Definite Matrices

Jun Fang, Hongbin Li

A new determinant inequality of positive semidefinite matrices is discovered and proved by us. This new inequality is useful for attacking and solving a variety of optimization pro…