The wavelet transform for pre-processing IR spectra in the identification of mono- and di-substituted benzenes

M. Bos; J.A.M. Vrielink

doi:10.1016/0169-7439(93)E0066-D

The wavelet transform for pre-processing IR spectra in the identification of mono- and di-substituted benzenes

M. Bos, J.A.M. Vrielink

Research output: Contribution to journal › Article › Academic › peer-review

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Abstract

This paper describes the wavelet transformation of IR spectra with the Daubechies analysing wavelet functions as a feature extracting method that successfully reduces the spectral data more than 20-fold with a significant improvement in the classification process.

Original language	Undefined
Pages (from-to)	115-122
Number of pages	8
Journal	Chemometrics and intelligent laboratory systems
Volume	23
Issue number	23
DOIs	https://doi.org/10.1016/0169-7439(93)E0066-D
Publication status	Published - 1994

Keywords

METIS-106678
IR-12468

Access to Document

10.1016/0169-7439(93)E0066-D

Bos94wavelet
open

Cite this

@article{b090effd171543dabab4fc218e08abeb,

title = "The wavelet transform for pre-processing IR spectra in the identification of mono- and di-substituted benzenes",

abstract = "This paper describes the wavelet transformation of IR spectra with the Daubechies analysing wavelet functions as a feature extracting method that successfully reduces the spectral data more than 20-fold with a significant improvement in the classification process.",

keywords = "METIS-106678, IR-12468",

author = "M. Bos and J.A.M. Vrielink",

year = "1994",

doi = "10.1016/0169-7439(93)E0066-D",

language = "Undefined",

volume = "23",

pages = "115--122",

journal = "Chemometrics and intelligent laboratory systems",

issn = "0169-7439",

publisher = "Elsevier",

number = "23",

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T1 - The wavelet transform for pre-processing IR spectra in the identification of mono- and di-substituted benzenes

AU - Bos, M.

AU - Vrielink, J.A.M.

PY - 1994

Y1 - 1994

N2 - This paper describes the wavelet transformation of IR spectra with the Daubechies analysing wavelet functions as a feature extracting method that successfully reduces the spectral data more than 20-fold with a significant improvement in the classification process.

AB - This paper describes the wavelet transformation of IR spectra with the Daubechies analysing wavelet functions as a feature extracting method that successfully reduces the spectral data more than 20-fold with a significant improvement in the classification process.

KW - METIS-106678

KW - IR-12468

U2 - 10.1016/0169-7439(93)E0066-D

DO - 10.1016/0169-7439(93)E0066-D

M3 - Article

VL - 23

SP - 115

EP - 122

JO - Chemometrics and intelligent laboratory systems

JF - Chemometrics and intelligent laboratory systems

SN - 0169-7439

IS - 23

ER -