Multivariate classification of pulp NIR spectra for end-product properties using discrete wavelet transform with orthogonal signal correction-Reference-Cited by-同舟云学术

Multivariate classification of pulp NIR spectra for end-product properties using discrete wavelet transform with orthogonal signal correction

Published:2014 Issue:22 Volume:6 Page:8906-8914
ISSN:1759-9660
Container-title:Anal. Methods
language:en
Short-container-title:Anal. Methods

Author:

Tavassoli N.¹²³,Tsai W.⁴⁵,Bicho P.⁴⁵,Grant E. R.¹²³

Affiliation:

1. Department of Chemistry

2. University of British Columbia

3. Vancouver, Canada

4. Canfor Pulp Innovation

5. Burnaby, Canada

Abstract

Natural material variations uncorrelated with physical properties of fibre networks hinder the development of robust calibration models by which to predict paper properties from on-line near-infrared (NIR) spectra of production pulps.

Publisher

Royal Society of Chemistry (RSC)

Subject

General Engineering,General Chemical Engineering,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2014/AY/C4AY01155D

Reference46 articles.

1. A Review of Recent Near Infrared Research for Wood and Paper

2. Prediction of strength parameters for softwood kraft pulps

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