ITLApplied  Computational Mathematics Division
ACMD Seminar Series
Attractive Image NIST
 
Up


Modeling Background Noise for Denoising in Chemical Spectroscopy

Richard Barnard
Louisiana State University, Baton Rouge, LA

Tuesday, June 30, 2009 15:00-16:00,
Building 101, Lecture Room F
Gaithersburg
Tuesday, June 30, 2009 13:00-14:00,
Room 5000
Boulder

Abstract: Data obtained from Matrix Assisted Laser Desorption Ionization Time of Flight (MALDI-TOF) mass spectrometers comes in the form of a set of 50,000-100,000 data pairs. Noise caused by background ions can be found in nearly every portion of the data set. In this talk, we present a method of denoising such data sets. In order to do this, we model the noise by a simple, time-dependent stochastic differential equation. This involves analysis of data sets obtained without a sample material in the spectrometer. With this, we can denoise data sets obtained from analytes by using this knowledge of the local character of the noise.

Speaker Bio: Richard Barnard is a PhD candidate in the Mathematics Department at Louisiana State University. He has been working with Professor Peter Wolesnki in Hamilton-Jacobi theory for discontinuous dynamical systems using techniques from nonsmooth analysis.


Presentation Slides: PDF


Contact: A. J. Kearsley

Note: Visitors from outside NIST must contact Robin Bickel; (301) 975-3668; at least 24 hours in advance.



Privacy Policy | Disclaimer | FOIA
NIST is an agency of the U.S. Commerce Department.
Last updated: 2011-01-12.
Contact