000180537 001__ 180537
000180537 005__ 20190316235447.0
000180537 0247_ $$2doi$$a10.1364/AO.51.005869
000180537 022__ $$a0003-6935
000180537 02470 $$2ISI$$a000308076600016
000180537 037__ $$aARTICLE
000180537 245__ $$aMultiple signal classification technique for phase estimation from a fringe pattern
000180537 260__ $$bOptical Society of America$$c2012
000180537 269__ $$a2012
000180537 336__ $$aJournal Articles
000180537 520__ $$aThe paper introduces a multiple signal classification technique based method for fringe analysis. In the proposed method, the phase of a fringe pattern is locally approximated as a polynomial. The polynomial phase signal is then transformed to obtain signals comprising of only even- or odd-order polynomial coefficients. Subsequently, covariance matrix formulation is applied, and the two sets of coefficients are jointly estimated from the noise subspace of the covariance matrix using the multiple signal classification technique. The method allows simultaneous estimation of multiple coefficients and provides phase without the requirement of complex unwrapping algorithms. The effectiveness of the proposed method is validated through numerical simulation.
000180537 6531_ $$afringe analysis, multiple signal classification technique, phase estimation
000180537 700__ $$0242300$$g190589$$aRajshekhar, G.
000180537 700__ $$0241647$$g106189$$aRastogi, Pramod
000180537 773__ $$j51$$tApplied Optics$$k24$$q5869-5875
000180537 8564_ $$uhttp://www.opticsinfobase.org/ao/abstract.cfm?uri=ao-51-24-5869$$zURL
000180537 8564_ $$uhttps://infoscience.epfl.ch/record/180537/files/applied_optics_subspace.pdf$$zn/a$$s599595$$yn/a
000180537 909C0 $$xU10237$$0252031$$pIMAC
000180537 909CO $$qGLOBAL_SET$$particle$$ooai:infoscience.tind.io:180537$$pENAC
000180537 917Z8 $$x190589
000180537 917Z8 $$x190589
000180537 917Z8 $$x190589
000180537 937__ $$aEPFL-ARTICLE-180537
000180537 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000180537 980__ $$aARTICLE