A quantitative infrared spectral library of vapor phase chemicals: applications to environmental monitoring and homeland defense

2004 ◽  
Author(s):  
Steven W. Sharpe ◽  
Timothy J. Johnson ◽  
Robert L. Sams
Keyword(s):  
Environmental Monitoring ◽  
Vapor Phase ◽  
Spectral Library ◽  
Infrared Spectral ◽  
Homeland Defense

Compression of an Infrared Spectral Library by Karhunen-Loeve Transformation

1982 ◽  
Vol 36 (1) ◽  
pp. 40-47 ◽  
Author(s):  
G. Hangac ◽  
R. C. Wieboldt ◽  
R. B. Lam ◽  
T. L. Isenhour
Keyword(s):  
Factor Analysis ◽  
Vapor Phase ◽  
Search Time ◽  
Spectral Library ◽  
Search System ◽  
Compression Technique ◽  
Infrared Spectral ◽  
Karhunen Loeve Transformation ◽  
Compression Data ◽  
Karhunen Loève Transformation

A data compression technique using factor analysis and the Karhunen-Loeve transformation has been applied to a library of vapor phase infrared spectra. Application of the compression algorithm results in a fivefold reduction in storage requirements for the spectral library and a corresponding reduction in search time. A search system based on the compression data has been evaluated and found to compare favorably with a search using the entire spectrum.

Building a near infrared spectral library for soil organic carbon estimation in the Limpopo National Park, Mozambique

Geoderma ◽  
2012 ◽  
Vol 183-184 ◽  
pp. 41-48 ◽  
Author(s):  
A.H. Cambule ◽  
D.G. Rossiter ◽  
J.J. Stoorvogel ◽  
E.M.A. Smaling
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
National Park ◽  
Near Infrared ◽  
Spectral Library ◽  
Infrared Spectral

Closure Effects on Infrared Spectral Library Search Performance

1987 ◽  
Vol 41 (8) ◽  
pp. 1298-1302 ◽  
Author(s):  
P. B. Harrington ◽  
T. L. Isenhour
Keyword(s):  
Infrared Spectra ◽  
Analytical Method ◽  
Unit Vector ◽  
Search Performance ◽  
Spectral Library ◽  
Data Set ◽  
Library Search ◽  
Vector Length ◽  
Infrared Spectral ◽  
Noise Frequency

Closure is caused by normalization of a data set, and it affects any multivariate analytical method applied to that data set. Two common methods of normalizing infrared spectra (IR), to unit maximum absorbance and to unit vector length, are evaluated by measurement of library search performance. Search performance is evaluated, by the use of the Quantitative Reliability Metric (QRM), as a function of noise frequency and noise level.

Prediction of Soil Fertility Properties from a Globally Distributed Soil Mid-Infrared Spectral Library

2010 ◽  
Vol 74 (5) ◽  
pp. 1792-1799 ◽  
Author(s):  
Thomas Terhoeven-Urselmans ◽  
Tor-Gunnar Vagen ◽  
Otto Spaargaren ◽  
Keith D. Shepherd
Keyword(s):  
Soil Fertility ◽  
Spectral Library ◽  
Mid Infrared ◽  
Infrared Spectral ◽  
Globally Distributed

Forensic discrimination of photocopy and printer toners I. The development of an infrared spectral library

2003 ◽  
Vol 376 (8) ◽  
pp. 1272-1278 ◽  
Author(s):  
Rena A. Merrill ◽  
Edward G. Bartick ◽  
J. Hollis Taylor�III
Keyword(s):  
Spectral Library ◽  
Infrared Spectral

scholarly journals A Medium‐Resolution Near‐Infrared Spectral Library of Late‐Type Stars. I.

2004 ◽  
Vol 151 (2) ◽  
pp. 387-397 ◽  
Author(s):  
Valentin D. Ivanov ◽  
Marcia J. Rieke ◽  
Charles W. Engelbracht ◽  
Almudena Alonso‐Herrero ◽  
George H. Rieke ◽  
...  
Keyword(s):  
Near Infrared ◽  
Late Type ◽  
Spectral Library ◽  
Medium Resolution ◽  
Infrared Spectral
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