890 citations · 3k across the 39 of their papers we have counts for
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cs.IT2015
Compressed Sensing for Wireless Communications : Useful Tips and Tricks
Jun Won Choi, Byonghyo Shim, Yacong Ding +2
As a paradigm to recover the sparse signal from a small set of linear measurements, compressed sensing (CS) has stimulated a great deal of interest in recent years. In order to app…
cs.LG2015★ 144 cited
Type I and Type II Bayesian Methods for Sparse Signal Recovery using Scale Mixtures
Ritwik Giri, Bhaskar D. Rao
In this paper, we propose a generalized scale mixture family of distributions, namely the Power Exponential Scale Mixture (PESM) family, to model the sparsity inducing priors curre…
cs.IT2015
Fair Scheduling Policies Exploiting Multiuser Diversity in Cellular Systems with Device-to-Device Communications
PhuongBang Nguyen, Bhaskar Rao
We consider the resource allocation problem in cellular networks which support Device-to-Device Communications (D2D). For systems that enable D2D via only orthogonal resource shari…