Fault classification in photovoltaic arrays using graph signal processing
J Fan, S Rao, G Muniraju… - … IEEE Conference on …, 2020 - ieeexplore.ieee.org
In this paper, we address the problem of fault classification in PhotoVoltaic (PV) arrays using
a semi-supervised graph signal processing approach. Traditional fault detection and …
a semi-supervised graph signal processing approach. Traditional fault detection and …
Consensus based distributed spectral radius estimation
G Muniraju, C Tepedelenlioglu… - IEEE Signal Processing …, 2020 - ieeexplore.ieee.org
A consensus based distributed algorithm to compute the spectral radius of a network is
proposed. The spectral radius of the graph is the largest eigenvalue of the adjacency matrix …
proposed. The spectral radius of the graph is the largest eigenvalue of the adjacency matrix …
Distributed quantiles estimation of sensor network measurements
J Lee, C Tepedelenlioglu, A Spanias… - International Journal of …, 2020 - igi-global.com
A quantile is a value below which random draws from a distribution falls with a given
probability. In a centralized setting where the cumulative distribution function (CDF) is …
probability. In a centralized setting where the cumulative distribution function (CDF) is …
Distributed Estimation of the Laplacian Spectrum via Wave Equation and Distributed Optimization
This paper presents a distributed algorithm to estimate all distinct eigenvalues of the
Laplacian matrix encoding the unknown topology of a multi-agent system. The agents …
Laplacian matrix encoding the unknown topology of a multi-agent system. The agents …
Distributed Consensus Algorithms for Wireless Sensor Networks
G Muniraju - 2021 - search.proquest.com
A distributed wireless sensor network (WSN) is a network of a large number of lowcost, multi-
functional sensors with power, bandwidth, and memory constraints, operatingin remote …
functional sensors with power, bandwidth, and memory constraints, operatingin remote …