• Smoothing of digital spectrosc...

Result: Smoothing of digital spectroscopic data by using a Chebyshev filter

Title:
Smoothing of digital spectroscopic data by using a Chebyshev filter
Authors:
PALACIO, C, PASCUAL, C, SUAREZ, F, LLORET, I
Source:
The Fourth Iberian Vaccum Meeting, IV IVM-IV RIVAVacuum. 64(3-4):481-485
Publisher Information:
Oxford: Elsevier, 2002.
Publication Year:
2002
Physical Description:
print, 6 ref
Original Material:
INIST-CNRS
Subject Terms:
Metallurgy, welding, Métallurgie, soudage, Physics, Physique, Sciences exactes et technologie, Exact sciences and technology, Physique, Physics, Generalites, General, Méthodes mathématiques en physique, Mathematical methods in physics, Divers, Other topics in mathematical methods in physics, Instruments, appareillage, composants et techniques communs à plusieurs branches de la physique et de l'astronomie, Instruments, apparatus, components and techniques common to several branches of physics and astronomy, Informatique en physique expérimentale, Computers in experimental physics, Analyse de données: algorithmes et implémentations; gestion de données, Data analysis: algorithms and implementation; data management, Donnée numérique, Numerical data, Etude théorique, Theoretical study, Filtre Tchebychev, Chebyshev filters, Lissage données, Data smoothing, Alisadura datos, Méthode moindre carré, Least square fit, Rapport signal bruit, Signal-to-noise ratio, Spectre photoélectron RX, X-ray photoelectron spectra, Traitement donnée, Data processing
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Departamento de Fisica Aplicada, Facultad de Ciencias, C-XII Universidad Autónoma de Madrid, Cantoblanco 28049-Madrid, Spain
ISSN:
0042-207X
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=13420906
Rights:
Copyright 2003 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Mathematics

Metrology

Theoretical physics
Accession Number:
edscal.13420906
Database:
PASCAL Archive

Further Information

Least-squares polynomial smoothing (LSP) is widely used for smoothing spectroscopic data. It is a very old technique described in many books on numerical analysis used to improve the signal-to-noise ratio of data. It was first applied by Savitzky and Golay in 1964. Later, in 1980, it was improved by Proctor and Sherwood by estimating values for the points which are normally lost by the central point smoothing as used by Savitzky and Golay. However smoothing by long LSP sequences leads to transmission zeros, phase reversal, and overshoots that are a drawback in some applications. In this work, an alternative method, the Chebyshev smoothing filter, is used to reduce the high-frequency noise in spectroscopic applications. Comparison in the frequency domain of the Chebyshev filter with other smoothing filters is also presented. Finally some application examples using XPS are given.