Time-domain weighted spectral matching by nonlinear wavelength sweeping

This paper proposes a method for enhancing the small difference between two reference spectra on the spectral matching imager. This method consists in nonlinear sweeping of the peak wavelength of the monochromatic light. Theoretical analysis reveals that the nonlinear wavelength sweeping results in...

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Main Authors: Kimachi, A., Doi, M., Nishi, S.
Format: Conference Proceeding
Language:English
Subjects:
Correlation
correlation image sensor
Electronic mail
Image sensors
Light sources
nonlinear wavelength sweeping
programmable spectral light source
Reflectivity
Spectral matching imager
Time domain analysis
Vectors
weighted correlation
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creator Kimachi, A.
Doi, M.
Nishi, S.
description This paper proposes a method for enhancing the small difference between two reference spectra on the spectral matching imager. This method consists in nonlinear sweeping of the peak wavelength of the monochromatic light. Theoretical analysis reveals that the nonlinear wavelength sweeping results in weighted spectral correlation. An optimization procedure is described for obtaining the weight function that brings the spectral correlation between two similar spectra as close to zero as possible. Simulation results demonstrate that the proposed method can enhance the small difference between two reference spectra.
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This method consists in nonlinear sweeping of the peak wavelength of the monochromatic light. Theoretical analysis reveals that the nonlinear wavelength sweeping results in weighted spectral correlation. An optimization procedure is described for obtaining the weight function that brings the spectral correlation between two similar spectra as close to zero as possible. 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Simulation results demonstrate that the proposed method can enhance the small difference between two reference spectra.</description><subject>Correlation</subject><subject>correlation image sensor</subject><subject>Electronic mail</subject><subject>Image sensors</subject><subject>Light sources</subject><subject>nonlinear wavelength sweeping</subject><subject>programmable spectral light source</subject><subject>Reflectivity</subject><subject>Spectral matching imager</subject><subject>Time domain analysis</subject><subject>Vectors</subject><subject>weighted correlation</subject><isbn>9781467322591</isbn><isbn>1467322598</isbn><isbn>4907764405</isbn><isbn>9784907764401</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotjM1Kw0AURkdEUGuewM28QGB-7vwtpWgVCm6yLzeTm2QkmYYkGPr2VvTbHDgcvhv2CEE4ZwGEuWVFcF6CdVopE-Q9K5blS1znlVEyPLBDlUYqm_OIKfONUtev1PBlorjOOPAR19in3PH6wvM5DykTznzDbxood2vPl41ougZP7K7FYaHinztWvb1W-_fy-Hn42L8cyxTEWmqHwaNFZ2MdFAjEFnQjde2jhRqglb613qsI0ppfJUQLMRgSPmrphN6x57_bRESnaU4jzpeT1dJrI_QPqX1Hcw</recordid><startdate>201208</startdate><enddate>201208</enddate><creator>Kimachi, A.</creator><creator>Doi, M.</creator><creator>Nishi, S.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201208</creationdate><title>Time-domain weighted spectral matching by nonlinear wavelength sweeping</title><author>Kimachi, A. ; Doi, M. ; Nishi, S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-37a98a6a76cb9240aaf43d13b8c64b44f18f6882c4165c64b00f4c95e08c31703</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Correlation</topic><topic>correlation image sensor</topic><topic>Electronic mail</topic><topic>Image sensors</topic><topic>Light sources</topic><topic>nonlinear wavelength sweeping</topic><topic>programmable spectral light source</topic><topic>Reflectivity</topic><topic>Spectral matching imager</topic><topic>Time domain analysis</topic><topic>Vectors</topic><topic>weighted correlation</topic><toplevel>online_resources</toplevel><creatorcontrib>Kimachi, A.</creatorcontrib><creatorcontrib>Doi, M.</creatorcontrib><creatorcontrib>Nishi, S.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEL</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Kimachi, A.</au><au>Doi, M.</au><au>Nishi, S.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Time-domain weighted spectral matching by nonlinear wavelength sweeping</atitle><btitle>2012 Proceedings of SICE Annual Conference (SICE)</btitle><stitle>SICE</stitle><date>2012-08</date><risdate>2012</risdate><spage>2048</spage><epage>2051</epage><pages>2048-2051</pages><isbn>9781467322591</isbn><isbn>1467322598</isbn><eisbn>4907764405</eisbn><eisbn>9784907764401</eisbn><abstract>This paper proposes a method for enhancing the small difference between two reference spectra on the spectral matching imager. This method consists in nonlinear sweeping of the peak wavelength of the monochromatic light. Theoretical analysis reveals that the nonlinear wavelength sweeping results in weighted spectral correlation. An optimization procedure is described for obtaining the weight function that brings the spectral correlation between two similar spectra as close to zero as possible. Simulation results demonstrate that the proposed method can enhance the small difference between two reference spectra.</abstract><pub>IEEE</pub><tpages>4</tpages></addata></record>
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subjects Correlation
correlation image sensor
Electronic mail
Image sensors
Light sources
nonlinear wavelength sweeping
programmable spectral light source
Reflectivity
Spectral matching imager
Time domain analysis
Vectors
weighted correlation
title Time-domain weighted spectral matching by nonlinear wavelength sweeping
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