18 citations · 40 across the 16 of their papers we have counts for
3 papers · 1 filter
Joint State and Sparse Input Estimation in Linear Dynamical Systems
Rupam Kalyan Chakraborty, Geethu Joseph, Chandra R. Murthy
Sparsity constraints on the control inputs of a linear dynamical system naturally arise in several practical applications such as networked control, computer vision, seismic signal…
Anomaly Detection via Learning-Based Sequential Controlled Sensing
Geethu Joseph, Chen Zhong, M. Cenk Gursoy +2
In this paper, we address the problem of detecting anomalies among a given set of binary processes via learning-based controlled sensing. Each process is parameterized by a binary…
Bayesian Algorithms for Kronecker-structured Sparse Vector Recovery With Application to IRS-MIMO Channel Estimation
Yanbin He, Geethu Joseph
We study the sparse recovery problem with an underdetermined linear system characterized by a Kronecker-structured dictionary and a Kronecker-supported sparse vector. We cast this…