In the field of structural health monitoring (SHM), the sensor measurement signals collected
from the structure are the foundation and key of the SHM system. However, the loss of …

Smart power distribution grid is equipped with different sensors and smart meters for getting
measurements at different nodes. Additionally, for monitoring and control purpose Intelligent …

Abstract Recent developments in Wireless Sensor Networks (WSN) benefited various fields,
among them Structural Health Monitoring (SHM) is an important application of WSNs. Using …

Structural health monitoring (SHM) plays a crucial role in ensuring the safety of infrastructure
in general, especially critical infrastructure such as bridges. SHM systems allow the real-time …

In this paper, we consider the problem of estimating the states of a linear dynamical system
whose inputs are jointly sparse and outputs at a few unknown time instants are missing. We …

The convergence of expectation-maximization (EM)-based algorithms typically requires
continuity of the likelihood function with respect to all the unknown parameters (optimization …

In this paper, we study the problem of sparse vector recovery at the fusion center of a sensor
network from linear sensor measurements when there is missing data. In the presence of …

In this paper, we study the feasibility of the exact recovery of a sparse vector from its linear
measurements when there are missing data. For this setting, the random sampling approach …

The extensive use of Wireless Sensor Networks (WSNs) has simplified health monitoring of
structures (especially long bridges) using acceleration/vibration data. However, various …