A family of smoothing algorithms for electron and other spectroscopies based on the Chebyshev filter

Smoothing is a useful tool to improve the signal-to-noise ratio of spectroscopic data. This paper reports a new family of smoothing formulas, the Chebyshev filters, which are derived approaching the original data to a polynomial and using the mini–max principle, that is, keeping the maximum error do...

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Bibliographic Details
Published in:	Thin solid films Vol. 513; no. 1; pp. 72 - 77
Main Authors:	López-Camacho, E., García-Cortés, A., Palacio, C.
Format:	Journal Article
Language:	English
Published:	Lausanne Elsevier B.V 14.08.2006 Elsevier Science
Subjects:	Chebyshev filters Condensed matter: electronic structure, electrical, magnetic, and optical properties Condensed matter: structure, mechanical and thermal properties Electronic structure and electrical properties of surfaces, interfaces, thin films and low-dimensional structures Exact sciences and technology Optical absorption spectroscopy Physics Smoothing algorithms Surfaces and interfaces; thin films and whiskers (structure and nonelectronic properties) X-ray photoelectron spectroscopy Optical absorption spectroscopy Smoothing algorithms Chebyshev filters X-ray photoelectron spectroscopy Lanthanum oxides Smoothing methods Sodium oxides Inorganic compounds Tetragonal lattices Fitting Cut-off Transfer functions Transition element compounds Theoretical study Signal-to-noise ratio Spectral window Tungsten oxides Rare earth compounds Algorithms Absorption spectra Optical absorption X-ray photoelectron spectra
ISSN:	0040-6090, 1879-2731
Online Access:	Get full text
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