activity
20122023
most citedDistributed Estimation of a Parametric Field: Algorithms and Performance Analysis

20 citations · 56 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CV2023

Uniqueness of Iris Pattern Based on AR Model

Katelyn M. Hampel, Jinyu Zuo, Priyanka Das +4

The assessment of iris uniqueness plays a crucial role in analyzing the capabilities and limitations of iris recognition systems. Among the various methodologies proposed, Daugman'…

cs.CV2023★ 9 cited

Empirical Assessment of End-to-End Iris Recognition System Capacity

Priyanka Das, Richard Plesh, Veeru Talreja +4

Iris is an established modality in biometric recognition applications including consumer electronics, e-commerce, border security, forensics, and de-duplication of identity at a na…

astro-ph.IM2017★ 9 cited

Wavelet Denoising of Radio Observations of Rotating Radio Transients (RRATs): Improved Timing Parameters for Eight RRATs

Min Jiang, Bingyi Cui, Natalia Schmid +2

Rotating radio transients (RRATs) are sporadically emitting pulsars detectable only through searches for single pulses. While over 100 RRATs have been detected, only a small fracti…

cs.IT2014

Effects of Spatial Randomness on Locating a Point Source with Distributed Sensors

Mohammad Fanaei, Matthew C. Valenti, Natalia A. Schmid

Most studies that consider the problem of estimating the location of a point source in wireless sensor networks assume that the source location is estimated by a set of spatially d…

cs.IT2014★ 11 cited

Optimal Power Allocation for Distributed BLUE Estimation with Linear Spatial Collaboration

Mohammad Fanaei, Matthew C. Valenti, Abbas Jamalipour +1

This paper investigates the problem of linear spatial collaboration for distributed estimation in wireless sensor networks. In this context, the sensors share their local noisy (an…

cs.IT2013★ 1 cited

Limited-Feedback-Based Channel-Aware Power Allocation for Linear Distributed Estimation

Mohammad Fanaei, Matthew C. Valenti, Natalia A. Schmid

This paper investigates the problem of distributed best linear unbiased estimation (BLUE) of a random parameter at the fusion center (FC) of a wireless sensor network (WSN). In par…