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The error in DIC measurement could arise due to many sources such as illumination variations, quality of the acquisition system, camera lens distortion, image noise, or it could be due to the error associated with the implementation of correlation algorithm like subset size, step size, strain window size, sub-pixel optimization algorithm, and sub-pixel intensity interpolation scheme.
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Compared with the conventional implementation of the correlation in the spatial domain, the benefit of the spectral approach depends on the window sizes.
Another statistic, prediction accuracy (Q), from a different implementation of environmental correlation provides us an opportunity to verify our observation that eQTLs are enriched in signals of environmental adaptation.
The implementation of cross-correlation for phase shift determination, however, was not an easy task.
This paper describes our experience in the design and implementation of an event correlation service.
A scheme of hardware implementation of all optical correlation technique is also suggested based on single spatial light modulator in a beam folding architecture.
Owing to its inherent computational complexity, practical implementation of digital volume correlation (DVC) for internal displacement and strain mapping faces important challenges in improving its computational efficiency.
The implementation of the QuIDScor correlation engine was validated on a real-world network and demonstrated a significant reduction of false alerts.
They have designed several experiments so as to validate the implementation of their proposed correlations (Ahmed 2011).
In this study, we adopt the implementation of the cross-correlation approach of (Meier et al. 2004) to the two-station method.
There are two approaches in the optical implementation of pattern recognition the correlation approach and the neural net approach.
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