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Statistical Analysis of Signal-to-Noise Ratios in Fringe Pattern Matching
Systems Engineering Division, School of Engineering, Cardiff University, Cardiff CF24 OYF, UK.ORCID iD: 0000-0002-4255-5130
Systems Engineering Division, School of Engineering, Cardiff University, Cardiff CF24 OYF, UK.
Systems Engineering Division, School of Engineering, Cardiff University, Cardiff CF24 OYF, UK.
Systems Engineering Division, School of Engineering, Cardiff University, Cardiff CF24 OYF, UK.
2002 (English)In: IEEE 6th International Conference on Signal Processing Proceedings, Vol. 1, 636-639 p.Article in journal (Refereed) Published
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Abstract [en]

The paper presents a statistical analysis of signal-to-noise ratios (SNRs) in fringe pattern matching. It shows theoretically that the SNR of interference fringes can be significantly improved by fringe pattern matching or mean square difference calculation based on statistical analysis. Computer simulation and experimental results have confirmed that the high accuracy of fringe pattern matching is due to the significant SNR improvements achieved.

Place, publisher, year, edition, pages
2002. Vol. 1, 636-639 p.
National Category
Bioinformatics (Computational Biology)
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URN: urn:nbn:se:liu:diva-125020DOI: 10.1109/ICOSP.2002.1181136OAI: oai:DiVA.org:liu-125020DiVA: diva2:902776
Available from: 2016-02-12 Created: 2016-02-12 Last updated: 2016-02-23

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Pham, Tuan D
Bioinformatics (Computational Biology)

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