3 citations · 5 across the 6 of their papers we have counts for
6 papers
Uncovering the Influence Flow Model of Transistor Amplifiers, Its Reconstruction and Application
Mohammed Tuhin Rana, Mishfad Shaikh Veedu, Murti V. Salapaka
Multistage transistor amplifiers can be effectively modeled as network of dynamic systems where individual amplifier stages interact through couplings that are dynamic in nature. U…
Causal Structure Recovery of Linear Dynamical Systems: An FFT based Approach
Mishfad Shaikh Veedu, James Melbourne, Murti V. Salapaka
Learning causal effects from data is a fundamental and well-studied problem across science, especially when the cause-effect relationship is static in nature. However, causal effec…
Information Theoretically Optimal Sample Complexity of Learning Dynamical Directed Acyclic Graphs
Mishfad Shaikh Veedu, Deepjyoti Deka, Murti V. Salapaka
In this article, the optimal sample complexity of learning the underlying interactions or dependencies of a Linear Dynamical System (LDS) over a Directed Acyclic Graph (DAG) is stu…
Topology Identification under Spatially Correlated Noise
Mishfad Shaikh Veedu, Murti V. Salapaka
This article addresses the problem of reconstructing the topology of a network of agents interacting via linear dynamics, while being excited by exogenous stochastic sources that a…
Topology Learning of Linear Dynamical Systems with Latent Nodes using Matrix Decomposition
Mishfad S. V., Harish Doddi, Murti V. Salapaka
In this article, we present a novel approach to reconstruct the topology of networked linear dynamical systems with latent nodes. The network is allowed to have directed loops and…
Estimating Noisy Order Statistics
Alex Dytso, Martina Cardone, H. Vincent Poor
This paper proposes an estimation framework to assess the performance of sorting over perturbed/noisy data. In particular, the recovering accuracy is measured in terms of Minimum M…