Titlebook: Advancements in Optical Methods & Digital Image Correlation in Experimental Mechanics, Volume 3; Proceedings of the 2 Ming-Tzer Lin,Cesar S

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Blind Equalization and System Identificationking techniques, grid methods and correlation techniques (Sutton et al., 2009, Image correlation for shape, motion and deformation measurements, Springer, Berlin, .). These techniques are used over a region of interest ranging from micro to millimeter scale. However, when studies need to be conducte

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Blind Equalization and System Identificationlenoptic camera is first investigated by using 2D DIC method to know how the function would change the images in size and to know the possible pseudo in-plane displacement might introduced. Then the focal-distance change function is applied to generate two images at different focal-length with respe

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Blind Equalization and System Identificationght when they are mechanically deformed. They open perspectives for the measurement of stresses in mechanical parts. The present study focused on the stress concentrations in granular materials. Granular systems are defined as a collection of particles whose macroscopic behavior depends on the conta

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MIMO Blind Equalization Algorithms, employing principal component analysis (PCA) is explored to circumvent the colour mismatch between application and calibration images in twelve fringe photoelasticity. For this, the images are considered as 3-D pixel clouds in . colour space.

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