5 citations · 6 across the 3 of their papers we have counts for
5 papers · 1 filter
Controllability of Linear Dynamical Systems Under Input Sparsity Constraints
Geethu Joseph, Chandra R. Murthy
In this work, we consider the controllability of a discrete-time linear dynamical system with sparse control inputs. Sparsity constraints on the input arises naturally in networked…
Sample-Measurement Tradeoff in Support Recovery under a Subgaussian Prior
Lekshmi Ramesh, Chandra R Murthy, Himanshu Tyagi
Data samples from with a common support of size are accessed through random linear projections (measurements) per sample. It is well-known that roughly …
Learned-SBL: A Deep Learning Architecture for Sparse Signal Recovery
Rubin Jose Peter, Chandra R. Murthy
In this paper, we present a computationally efficient sparse signal recovery scheme using Deep Neural Networks (DNN). The architecture of the introduced neural network is inspired…
Fundamental Limitations in Biomarker Based Early Disease Diagnosis
Tuhin Chakrabortty, Chandra R. Murthy, Manoj Varma
Clinical biosensors with low detection limit hold significant promise in the early diagnosis of debilitating diseases. Recent progress in sensor development has led to the demonstr…
Machine Learning in the Air
Deniz Gunduz, Paul de Kerret, Nicholas D. Sidiropoulos +3
Thanks to the recent advances in processing speed and data acquisition and storage, machine learning (ML) is penetrating every facet of our lives, and transforming research in many…