Applied Physics B

, Volume 115, Issue 3, pp 355–364 | Cite as

Error analysis of the principal component analysis demodulation algorithm

  • J. VargasEmail author
  • J. M. Carazo
  • C. O. S. Sorzano


In this work, we present suitable phase accuracy indicators, which are obtained from the first three obtained eigenvalues of the principal component analysis (PCA) demodulation algorithm. These indicators can be used in the measuring process to determine a blind phase goodness assessment, without the need of using any ground truth phase information. Therefore, it is possible to perform further actions if required, as obtaining more interferograms or repeat the measure. Additionally, we present simulated and experimental results that support our mathematical analysis and conclusions. A complete MATLAB software package reproducing any result and figure shown in this work is provided in (


Modulate Phase Phase Error Fringe Pattern Phase Reconstruction Principal Component Analysis Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Biocomputing UnitCentro Nacional de Biotecnología-CSICCantoblanco, MadridSpain

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