Application of the linear prediction z-transform and autoregression to FTIR spectral analysis

Yuan-Pern Lee; Dze Shu Chen

doi:10.1007/BF01205843

Application of the linear prediction z-transform and autoregression to FTIR spectral analysis

Yuan-Pern Lee^*, Dze Shu Chen

^*Corresponding author for this work

Department of Applied Chemistry

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

2 Scopus citations

Abstract

Several methods using linear prediction z-transformation and autoregression have been applied to FTIR spectral analysis to reduce noise and improve resolution of an emission spectrum obtained from the truncated interferogram.

Original language	English
Pages (from-to)	85-87
Number of pages	3
Journal	Mikrochimica Acta
Volume	94
Issue number	1-6
DOIs	https://doi.org/10.1007/BF01205843
State	Published - 1 Jan 1988

Keywords

autoregression
FTIR
linear prediction
noise reduction
z-transform

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10.1007/BF01205843

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title = "Application of the linear prediction z-transform and autoregression to FTIR spectral analysis",

abstract = "Several methods using linear prediction z-transformation and autoregression have been applied to FTIR spectral analysis to reduce noise and improve resolution of an emission spectrum obtained from the truncated interferogram.",

keywords = "autoregression, FTIR, linear prediction, noise reduction, z-transform",

author = "Yuan-Pern Lee and Chen, {Dze Shu}",

year = "1988",

month = jan,

day = "1",

doi = "10.1007/BF01205843",

language = "English",

volume = "94",

pages = "85--87",

journal = "Mikrochimica Acta",

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T1 - Application of the linear prediction z-transform and autoregression to FTIR spectral analysis

AU - Lee, Yuan-Pern

AU - Chen, Dze Shu

PY - 1988/1/1

Y1 - 1988/1/1

N2 - Several methods using linear prediction z-transformation and autoregression have been applied to FTIR spectral analysis to reduce noise and improve resolution of an emission spectrum obtained from the truncated interferogram.

AB - Several methods using linear prediction z-transformation and autoregression have been applied to FTIR spectral analysis to reduce noise and improve resolution of an emission spectrum obtained from the truncated interferogram.

KW - autoregression

KW - FTIR

KW - linear prediction

KW - noise reduction

KW - z-transform

UR - http://www.scopus.com/inward/record.url?scp=34250096677&partnerID=8YFLogxK

U2 - 10.1007/BF01205843

DO - 10.1007/BF01205843

M3 - Article

AN - SCOPUS:34250096677

SN - 0026-3672

VL - 94

SP - 85

EP - 87

JO - Mikrochimica Acta

JF - Mikrochimica Acta

IS - 1-6

ER -

Application of the linear prediction z-transform and autoregression to FTIR spectral analysis

Abstract

Keywords

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