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Search Publications by: Anthony J. Kearsley (Fed)

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Displaying 76 - 100 of 151

Stochastic Regression Modeling of Chemical Spectra

August 14, 2014
Author(s)
Anthony J. Kearsley, William E. Wallace, Yutheeka Gadhyan
A stochastic regression method has been developed that decomposes chemical spectra into separate contributions from signal and from noise. The numerical results of regressing in this way on sample spectra are presented. The results suggest that this

Constrained Hierarchical Control of a Diffusion Equation

December 31, 2013
Author(s)
Anthony J. Kearsley
In this paper, we consider the approximate pointwise control of a linear parabolic system with multiple targets. The location of the pointwise controls are constrained and we assume hierarchy among the objectives, Optimality conditions are derived for a

Successive Frequency Domain Minimization for Time Delay Estimation

November 12, 2013
Author(s)
Ismet Sahin, Marwan A. Simaan, Anthony J. Kearsley
Estimating time delays for signal alignment is important for many applications. This paper extends a successful frequency domain cost function minimization algorithm capable of estimating time delays to within a fraction of sampling periods. Since a narrow

Automated Data Processing and Quantification in Polymer Mass Spectrometry

December 1, 2011
Author(s)
Till Gruendling, Christopher Barner-Kowollik, William E. Wallace, Charles M. Guttman, Anthony J. Kearsley
An overview is given of some new techniques in quantitative composition and molecular mass distribution measurement of synthetic polymers by mass spectrometry. New concepts in data analysis, including peak picking and integration, are also described.

Numerical Optimization of Matrix-Assisted Laser Desorption/Ionization Time-of- Flight Mass Spectrometry: Application to Synthetic Polymer Molecular Mass Distribution Measurement

May 26, 2007
Author(s)
William E. Wallace, Charles M. Guttman, Kathleen M. Flynn, Anthony J. Kearsley
A novel approach is described for the selection of optimal instrument parameters that yield a mass spectrum which best replicates the molecular mass distribution of a synthetic polymer. The application of implicit filtering algorithms is shown to be a