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The modulation transfer function (MTF) is a critical metric for assessing the performance of optical imaging systems, providing a quantitative measure of how effectively these systems transfer ...

Near-infrared spectroscopy is now a popular method in neuromonitoring. Derived parameters like cerebral oxygenation index or Fast Fourier Transform based coherence estimates between blood pressure and ...

Each transfer function should specify the effect of that kind of node on the flow value. Recall that transfer functions should be monotonic in order to ensure convergence (using gen and kill sets ...

Griffin, Christopher, and Elisabeth Paulson. "Optimal Process Control of Symbolic Transfer Functions." In Proceedings of the 10th International Workshop on Feedback Computing. IEEE, 2015.

State-space models (SSMs) are crucial in deep learning for sequence modeling. They represent systems where the output depends on both current and past inputs. SSMs are widely applied in signal ...

The user is usually very familiar with these data structures. These data structures come with a large tool box for various data operations. Optimized methods for reading from and writing to GDX can ...

MATLAB functions to evaluate the transfer function for particle mass analyzers, including the centrifugal particle mass analyzer (CPMA) and aerosol particle mass analyzer (APM).