Calibration of a spectrometer using a genetic algorithm

The paper is about digital processing of data acquired by a low-resolution spectrometer. A procedure for calibration of spectrometers is proposed which yields an operator enabling a user to correct the spectrometric data for the effect of hardware imperfections. The procedure, based on the use of a...

Full description

Saved in:
Bibliographic Details
Main Authors: Sprzeczak, P., Morawski, R.Z.
Format: Conference Proceeding
Language:English
Subjects:
Biochemical analysis
Biomedical engineering
Calibration
Chemical analysis
Chemistry
Electrochemical impedance spectroscopy
Genetic algorithms
Mass spectroscopy
Organic chemicals
Parameter estimation
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The paper is about digital processing of data acquired by a low-resolution spectrometer. A procedure for calibration of spectrometers is proposed which yields an operator enabling a user to correct the spectrometric data for the effect of hardware imperfections. The procedure, based on the use of a genetic algorithm of global optimization, is studied using both synthetic and real-world data, viz. it is used for estimating parameters of three nonlinear operators of data correction: a rational filter, a Cauchy filter and a superposition of two Cauchy filters. The results confirm the practical usefulness both of the proposed procedure of calibration and of the proposed Cauchy filter.
ISSN:1091-5281
DOI:10.1109/IMTC.1999.777016