Quadrature-Component-Analysis
干涉 

所属分类:matlab编程
开发工具:matlab
文件大小:11249KB
下载次数:3
上传日期:2013-11-26 15:09:45
上 传 者whl0723
说明:  干涉图的正交分析."Quadrature Component Analysis for Interferometry".
(This software shows the performance of the algorithm proposed in the paper: "Quadrature Component Analysis for Interferometry".)

文件列表:
Quadrature Component Analysis for interferometry\adjustPiston.m (2229, 2011-09-04)
Quadrature Component Analysis for interferometry\AIA.m (3111, 2012-08-31)
Quadrature Component Analysis for interferometry\fpulp.m (3283, 2012-09-12)
Quadrature Component Analysis for interferometry\LICENSE.txt (1557, 2012-10-06)
Quadrature Component Analysis for interferometry\qcaDemod.m (2543, 2012-10-06)
Quadrature Component Analysis for interferometry\RealInt.mat (11507697, 2012-10-06)
Quadrature Component Analysis for interferometry\testQCA.m (14148, 2012-10-20)
Quadrature Component Analysis for interferometry (0, 2012-10-20)

This software shows the performance of the algorithm proposed in the paper: "Quadrature Component Analysis for Interferometry". This software has been tested under Matlab R2008b, R2009b and Matlab R2010b. Additionally, it is necessary to have installed the Matlab Image Processing toolbox. The files that are included in this distribution are: testQCA.m --------------------- This script shows the performance of the proposed demodulating algorithm (qcaDemod.m function) comparing its results with the least-squares self-calibrating method (AIA.m function) [1] . This script presents three types of examples. In order to select one or the other change, in line 36 variable medida to 1, 2 or 3 (medida=1, medida=2, medida=3). Measure=1 shows a demodulating example with simulated fringe patterns (20 phase-shifted fringe patterns), measure=2 shows an example using simulated fringe patterns with different number of fringes. Finally, measure=3 shows an example with real fringe patterns. The fringe patterns are processed with the proposed method (qcaDemod.m ) and with the method shown in [1] (AIA.m ) In order to run this script just type in the Matlab command line testQCA and press enter AIA.m --------------------- Matlab implementation of the method shown in [1] qcaDemod.m --------------------- Matlab implementation of the proposed phase demodulating method fpulp.m ------------------- Phase Unwrapping method using a quality map and a recursive phase unwrapper method [3] RealInt.mat ------------------- Real phase-shifted interferograms (5 interferograms) REFERENCES: [1] Z. Wang, B. Han, “Advanced iterative algorithm for phase extraction of randomly phase-shifted interferograms”, Opt. Lett. 29(14), 1671-1673 (2004) [2] J. Vargas, J. Antonio Quiroga, and T. Belenguer, "Phase-shifting interferometry based on principal component analysis," Opt. Lett. 36, 1326-1328 (2011) [3] Julio Estrada, Javier Vargas, Mauricio Flores-Moreno and Juan Antonio Quiroga, “Windowed phase unwrapping using a first order dynamic system following iso-phase contours”, Applied Optics (in press)

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