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Granger analysis (GA) is widely used to construct directed brain networks based on various physiological recordings, such as functional magnetic resonance imaging, and electroencephalogram (EEG). However, in real applications, EEGs are inevitably contaminated by unexpected artifacts that may distort the networks because of the L2 norm structure utilized in GAs when estimating directed links. Compared...
This paper explores the experimental design and identifiability problems for both closed and open quantum systems. In general, the identifiability of quantum systems depends on both the choice of model sets and experimental design. The limits of identifiability in certain experimental settings and ways to improve the identifiability of model parameters by changing experimental conditions are investigated...
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