Polarization-versed calibration of spectrophotometric transducers

Author

Morawski, Roman Z. ; Miekina, Andrzej ; Oleszczak, Tomasz ; Barwicz, Andrzej

Author_Institution

Fac. of Electron. & Inf. Technol., Warsaw Univ. of Technol., Poland

Volume

52

Issue

4

fYear

2003

Firstpage

1308

Lastpage

1313

Abstract

A new method for the calibration of spectrophotometric transducers is proposed. The method, using a radial-basis-function neural network, is designed to overcome two important drawbacks of existing methods, viz. their inability to deal with the problems implied by insufficiency of the number of output data, and light polarization. The results of a study of this method, based on semi-synthetic data, have been given, and conclusions, pointing out its practical usefulness, are drawn.

Keywords

calibration; light polarisation; radial basis function networks; spectrophotometers; transducers; RBF neural network; light polarization; output data number insufficiency; polarization-versed transducer calibration; radial-basis-function neural network; spectrophotometers; spectrophotometric transducer calibration; spectroscopy; Calibration; Design methodology; Instruments; Neural networks; Optical arrays; Optical polarization; Photodetectors; Photodiodes; Sea measurements; Transducers;

fLanguage

English

Journal_Title

Instrumentation and Measurement, IEEE Transactions on

Publisher

ieee

ISSN

0018-9456

Type

jour

DOI

10.1109/TIM.2003.816853

Filename

1232386