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Many real imaging processes involve SV linear degradation.
For many real imaging devices, especially those designed to be wide-angle, small, cheap and/or extra robust (for instance, because of having very simple optics), it may still be reasonable to consider their degradation model as linear, but they may significantly depart from shift-invariance (SI).
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Many real made guys frequented his store.
Many real networks are directed.
Lincoln has just too many "real" names.
Many real genomes have highly repetitive regions.
Many real world problems have been modelled via differential equations.
However, they typically assume that the multimodal feature sets are conditionally independent, which does not hold in many real-world applications such as imaging genetics.
Or so many real-ale snobs insist.
Many real-world classification problems involve multidimensional inputs.
In particular, many hyperspectral imaging applications demand real time or near real-time performance.
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