NOTICE: Due to a lapse in annual appropriations, most of this website is not being updated. Learn more.

Form submissions will still be accepted but will not receive responses at this time. Sections of this site for programs using non-appropriated funds (such as NVLAP) or those that are excepted from the shutdown (such as CHIPS and NVD) will continue to be updated.

U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Search Publications by: Andrew Dienstfrey (Fed)

Search Title, Abstract, Conference, Citation, Keyword or Author
Displaying 1 - 25 of 56

Layer ensemble averaging for fault tolerance in memristive neural networks

February 1, 2025
Author(s)
Osama Yousuf, Brian Hoskins, Karthick Ramu, Mitchell Fream, William Borders, Advait Madhavan, Matthew Daniels, Andrew Dienstfrey, Jabez McClelland, Martin Lueker-Boden, Gina Adam
Advancements in continual learning with artificial neural networks have been fueled in large part by scaling network dimensionalities. As this scaling continues, conventional computing systems are becoming increasingly inefficient due to the von Neumann

Device Modeling Bias in ReRAM-Based Neural Network Simulations

January 20, 2023
Author(s)
Imtiaz Hossen, Matthew Daniels, Martin Lueker-Boden, Andrew Dienstfrey, Gina Adam, Osama Yousuf
The study of resistive-RAM (ReRAM) devices for energy efficient machine learning accelerators requires fast and robust simulation frameworks that incorporate realistic models of the device population. Jump table modeling has emerged as a phenomenological

Bi-Criteria Radio Spectrum Sharing with Subspace-Based Pareto Tracing

March 22, 2022
Author(s)
Zachary J. Grey, Susanna Mosleh, Jake Rezac, Yao Ma, Jason Coder, Andrew Dienstfrey
Radio spectrum is a scarce resource. To meet demands, new wireless technologies must operate in shared spectrum over unlicensed bands (coexist). We consider coexistence of Long-Term Evolution (LTE) License-Assisted Access (LAA) with incumbent Wi-Fi systems

Optimizing Unlicensed Band Spectrum Sharing With Subspace-Based Pareto Tracing

August 6, 2021
Author(s)
Zachary Grey, Susanna Mosleh, Angela Folz, Yao Ma, Jason Coder, Andrew Dienstfrey
In order to meet the ever-growing demands of data throughput for forthcoming and deployed wireless networks, new wireless technologies like Long-Term Evolution License-Assisted Access (LTE-LAA) operate in shared and unlicensed bands. However, the LAA

Generalized source-conditions and uncertainty bounds for deconvolution problems

October 1, 2018
Author(s)
Jake D. Rezac, Andrew M. Dienstfrey, Nicholas A. Vlajic, Akobuije D. Chijioke, Paul D. Hale
Many problems in time-dependent metrology can be phrased mathematically as deconvolution problems. In such cases, measured data is modeled as the convolution of a known system response function with an unknown input signal, and the goal is to estimate the

Waveform metrology: Signal measurements in a modulated world

August 3, 2018
Author(s)
Paul D. Hale, Dylan F. Williams, Andrew M. Dienstfrey
In this work, we review the \full waveform metrology" concept that we introduced at the National Institute of Standards and Technology. Under this paradigm the full waveform and its functional representation is the target measurand. From the waveform

Magnetic Resonance Imaging Biomarker Calibration Service: Proton Spin Relaxation Times

May 3, 2018
Author(s)
Michael A. Boss, Andrew M. Dienstfrey, Zydrunas Gimbutas, Kathryn E. Keenan, Jolene D. Splett, Karl F. Stupic, Stephen E. Russek
This document describes the calibration service to measure proton spin relaxation times, T1 and T2, of materials used in phantoms (calibration artifacts) to verify the accuracy of MRI-based quantitative measurements. Proton spin relaxation times are used

Analysis, Comparison, and Assessment of Latent Fingerprint Preprocessing

July 20, 2017
Author(s)
Haiying Guan, Paul Y. Lee, Curtis L. Lamp, Andrew Dienstfrey, Mary Frances Theofanos, Brian Stanton, Matthew Schwarz
Latent fingerprints obtained from crime scenes are rarely immediately suitable for identification purposes. Instead, most latent fingerprint images must be preprocessed to enhance the fingerprint information held within the digital image, while suppressing

Calibration of Time-interleaved Errors in Real-time Digital Oscilloscopes

November 1, 2016
Author(s)
Jeffrey A. Jargon, Chihyun Cho, Joo-Gwang Lee, Paul D. Hale, Peter J. Jeavons, John B. Schlager, Andrew M. Dienstfrey
A novel method is proposed for the calibration of channel mismatch in a time-interleaved real- time digital oscilloscope (RTDO). A simple simultaneous equation is derived from the Fourier transform of the time-interleaved signals requiring only a transfer

On challenges in the uncertainty evaluation for time-dependent measurements

June 14, 2016
Author(s)
Sascha Eichstadt, Volker Wilkens, Andrew Dienstfrey, Paul D. Hale, Ben Hughes, Charles Jarvis
The measurement of quantities with time-dependent values is a common task in many areas of metrology. Although well established techniques are available for the analysis of such measurements, serious scientific challenges remain to be solved to enable

Calibration of channel mismatch in time-interleaved real-time digital oscilloscopes

May 22, 2015
Author(s)
Jeffrey A. Jargon, Paul D. Hale, Peter J. Jeavons, John B. Schlager, Andrew M. Dienstfrey, Joo-Gwang Lee, Chihyun Cho
A novel method is proposed for the calibration of channel mismatch in a time-interleaved real- time digital oscilloscope (RTDO). The method only requires a transfer function of time- interleaved ADCs (TIADCs), and also proposes measurement schemes of the

A Measurement Metric for Forensic Latent Fingerprint Preprocessing

July 31, 2014
Author(s)
Haiying Guan, Andrew Dienstfrey, Mary Frances Theofanos, Brian Stanton
Although fingerprint mark-up and identification are well-studied fields, forensic fingerprint image preprocessing is still a relatively new domain in need of further scientific study and development of guidance of best practice. Latent fingerprint image
Was this page helpful?