890 citations · 3k across the 39 of their papers we have counts for
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Dictionary Learning Based Sparse Channel Representation and Estimation for FDD Massive MIMO Systems
Yacong Ding, Bhaskar D. Rao
This paper addresses the problem of uplink and downlink channel estimation in FDD Massive MIMO systems. By utilizing sparse recovery and compressive sensing algorithms, we are able…
Robust Bayesian Method for Simultaneous Block Sparse Signal Recovery with Applications to Face Recognition
Igor Fedorov, Ritwik Giri, Bhaskar D. Rao +1
In this paper, we present a novel Bayesian approach to recover simultaneously block sparse signals in the presence of outliers. The key advantage of our proposed method is the abil…
A Unified Framework for Sparse Non-Negative Least Squares using Multiplicative Updates and the Non-Negative Matrix Factorization Problem
Igor Fedorov, Alican Nalci, Ritwik Giri +3
We study the sparse non-negative least squares (S-NNLS) problem. S-NNLS occurs naturally in a wide variety of applications where an unknown, non-negative quantity must be recovered…
Rectified Gaussian Scale Mixtures and the Sparse Non-Negative Least Squares Problem
Alican Nalci, Igor Fedorov, Maher Al-Shoukairi +2
In this paper, we develop a Bayesian evidence maximization framework to solve the sparse non-negative least squares (S-NNLS) problem. We introduce a family of probability densities…