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Estimating the relative shrinkage profile of newsprint
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Intelligent Systems´ laboratory.
2003 (English)In: Optical Engineering: The Journal of SPIE, ISSN 0091-3286, E-ISSN 1560-2303, Vol. 42, no 5, p. 1467-1475Article in journal (Refereed) Published
Abstract [en]

When water is removed from the paper during paper making, a dimensional change occurs in which the paper shrinks in the direction perpendicular to the direction of processing. The dimensional changes vary across the web and influence, e.g., the surface and compression properties of the paper; they also complicate the control of the paper machine. In this article, a robust method for estimating the relative shrinkage profile is presented. The method is based on a one-dimensional recording of the imprints from the forming fabric, using a fluorescence technique. The recording is transformed into a time-frequency spectrum, on which three different frequency estimators have been evaluated. In simulations on synthetic data and measurements on paper profiles the estimator that maximizes the correlation energy showed the most robust and accurate performance of the methods evaluated, even at a low signal-to-noise ratio.

Place, publisher, year, edition, pages
Redondo Beach, Calif.: SPIE, The International Society for Optical Engineering , 2003. Vol. 42, no 5, p. 1467-1475
Keywords [en]
Fluorescence, Frequency estimators, Paper shrinkage, Simulations
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:hh:diva-216DOI: 10.1117/1.1567260ISI: 000182985900041Scopus ID: 2-s2.0-0038380679Local ID: 2082/511OAI: oai:DiVA.org:hh-216DiVA, id: diva2:237394
Available from: 2006-11-24 Created: 2006-11-24 Last updated: 2018-03-23Bibliographically approved
In thesis
1. Non-Invasive Multidimensional Imaging Applied on Biological Substances
Open this publication in new window or tab >>Non-Invasive Multidimensional Imaging Applied on Biological Substances
2002 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

This thesis presents the research and development of a microwave in-strument to capture tomographic information from the inner structure ofthe biological sample. The principle of the instrument is based on theanisotropy introduced by the fibres in materials such as wood and musclesin terms of information regarding changes in the fibre structure. The in-formation is presented as images representing the state of polarization us-ing Stokes parameters, the complex polarization ratio, and the ellipticityand the linear tilt angles. The theory of wave propagation in anisotropicmedia is discussed and related to the dielectric properties of wood. Ex-periments have shown that the developed instrument can be utilized invarious applications such as localizing knots and cavities in wood andto detect mechanical contamination of meat. A second instrument hasbeen improved by introducing a new signal analysis step to estimate therelative shrinkage profile of paper. The estimator is based on trackingfrequency variations in the joint time frequency spectrum and follows thelower bound of the problem for the relevant noise levels.

Place, publisher, year, edition, pages
Göteborg: Chalmers university of technology, 2002. p. 154
Series
Doktorsavhandlingar vid Chalmers Tekniska Högskola, Ny serie, ISSN 0346-718X ; 1886
Keywords
Microwave propagation, Tomography, Polarimetry, Frequency estimation, Anisotropic media, Wood, Muscles, Paper
National Category
Natural Sciences
Identifiers
urn:nbn:se:hh:diva-2461 (URN)2082/2863 (Local ID)91-7291-204-9 (ISBN)2082/2863 (Archive number)2082/2863 (OAI)
Public defence
(English)
Note
[Paper A] Kaestner, A.P. & Bååth, L.B., Microwave polarimetry based scanning for internal defects, Submitted to IEEE Transactions on Antennas and Propagation.Available from: 2009-04-16 Created: 2009-04-16 Last updated: 2010-03-12Bibliographically approved

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Nilsson, Carl Magnus

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