Title :
The effect of the quality of spectrometric data on the result of their interpretation
Author :
Wisneiwski, M.P. ; Morawski, Roman Z. ; Barwicz, Andrzej
Author_Institution :
R&D Group, Meas. Microsyst. Inc., Trois-Rivieres, Que., Canada
Abstract :
The quality of the computer-based interpretation of spectrometric data depends not only on the efficiency of the algorithms applied but also on the quality of spectrometric data to be interpreted. In the paper, the latter effect is studied; in particular-the influence of spectral resolution, sampling step, noise level, and length of the binary representation of spectrometric data. The results of a comparative study are presented and discussed. Some conclusions, concerning the limitations of reliable interpretation of spectrometric data, are drawn
Keywords :
data analysis; data structures; design of experiments; noise; sampling methods; spectrochemical analysis; spectroscopy computing; binary representation; noise; sampling step; spectral resolution; spectrometric data; Absorption; Bandwidth; Biomedical engineering; Deconvolution; Information technology; Noise level; Recursive estimation; Research and development; Sampling methods; Spectroscopy;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2000. IMTC 2000. Proceedings of the 17th IEEE
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-5890-2
DOI :
10.1109/IMTC.2000.848872
