Quadratic FIR filter for numerical correction of spectrometric data

Author

Szczecinski, Leszek ; Morawski, Roman Z. ; Barwicz, Andrzej

Author_Institution

Dept. d´´Ingenierie, Quebec Univ., Trois-Rivieres, Que., Canada

Volume

2

fYear

1996

fDate

1996

Firstpage

1046

Abstract

The raw results of spectrometric analysis are subject to systematic errors of an instrumental type that may be reduced provided a mathematical model of the instrumental imperfection or its pseudoinverse, i.e. an operator of reconstruction, is identified. The idea of identifying the operator of reconstruction, having the form of a quadratic FIR filter, directly during calibration is developed. A corresponding algorithm is proposed and studied using spectrometric-type synthetic data. The results are compared with those obtained by means of other algorithms, often used for spectrometric data correction

Keywords

FIR filters; calibration; delay circuits; error correction; mathematical operators; measurement errors; signal reconstruction; spectrochemical analysis; spectroscopy computing; algorithm; calibration; instrumental imperfection; iterative deconvolution; nonlinearities effect; numerical correction; pseudoinverse; quadratic FIR filter; reconstruction operator; recursive operator; regularization parameter; relative RMS errors; spectrometric data; systematic errors; Calibration; Electronic mail; Finite impulse response filter; Instruments; Mathematical model; Measurement errors; Robust stability; Seismic measurements; Signal analysis; Spectroscopy;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 1996. IMTC-96. Conference Proceedings. Quality Measurements: The Indispensable Bridge between Theory and Reality., IEEE

Conference_Location

Brussels

Print_ISBN

0-7803-3312-8

Type

conf

DOI

10.1109/IMTC.1996.507324

Filename

507324