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In this configuration, the encoding of the walker is done exploiting the temporal degree of freedom and the coin using polarisation or path degrees of freedom of optical signals.
We apply this framework to examples previously considered in the literature to demonstrate that, by designing structured controllers with infinite impulse response, superior performance can be achieved compared to finite impulse response structured controllers of the same temporal degree.
We define the state as having a temporal dimension; the total number of dimensions of the state vector in the phase space is obtained by multiplying the number of variables by the spatial degree of freedom and the temporal degree of freedom.
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This implies that the cost complexity of the spatio-temporal convolutions, associated with evaluating the potentials, scales as O N2sN2t), where Ns and Nt are the number of spatial and temporal degrees of freedom, respectively.
With the application being targeted at a low-frequency regime, the proposed time-domain interpolation-based FMM can reduce the computational complexity of the TDBIEM from O N2sNt) to O(N1+δsNt) (where δ="1/3 or 1/2) with the help of multilevel space time hierarchy, where Ns and Nt are the spatial and temporal degrees of freedom, respectively.
It is also partly because the reduction in temporal degrees-of-freedom caused by the use of a large number of regressors impacts more on the data with fewer timepoints.
Although these regressions are able to provide Z-stats for comparing effective CNR across TRs, simple ordinary-least-squares regression does not correct for the true (temporal) degrees-of-freedom (DoF) in the data.
Correction for residual motion artefacts was performed with an ICA-based method, which has been shown to outperform motion scrubbing and spike-regression methods both in terms of reproducibility of resting-state networks and conservation of temporal degrees of freedom (Pruim et al., 2015a; Pruim et al., 2015b).
We studied nasal quadrant (316 – 45-degree unit circle), superior quadrant (46 – 135 degrees), temporal quadrant (136 – 225 degrees), and inferior quadrant (226 – 315 degrees) thicknesses, all of which were automatically calculated by OCT using the built-in software.
Distinguish from those methods in above researches, our proposed scheme mainly focus on reducing the temporal redundant degree in event-source to achieve energy-saving effect via self-adaptive filtering structure.
The results of this study strongly suggest that the time of day the patient is declared medically fit is important: this determines the temporal conditions (degree of time pressure) for the subsequent actions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com