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The proposed system approximates the phase coded aperture with a block unblock coded aperture by using the detour-phase method.
This system approximates the previous one by combining the imputed spectra obtained from the PROSPECT CGs like in Equation (4), but takes a different approach to compute the posterior probabilities of the CGs.
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We have built a complete detector system approximating the final detector design.
The work of Zhou et al. is based on Takagi-Sugeno fuzzy logic system approximating the optimal control law for the speed control of the particular PMSM that is to be controlled [32, 33].
We observe that the behavior of the system approximates a biased random walk.
When σ ≫ 1, X i tends to flip (on a timescale ≈ γ-1) between 0 and 1, and the dynamical system approximates a Boolean network [ 30].
Kohn Sham-based DFT calculates the energy of a non-interacting reference system and approximates the difference to the real system using the exchange and correlation functionals.
In this paper, a full-order dynamic output feedback controller is designed for the delayed uncertain nonlinear system approximated by the neural network (e.g. multilayer perceptron, recurrent neural network, etc)., of which the activation functions satisfy the sector conditions.
This new method begins from the solution of the undamped system and approximates the complex eigenpair by finite increments using the eigenvector derivatives and the Rayleigh quotient.
Locally (for sub and perithreshold regimes) this reduced system well approximates the modified propofol model, despite being unable to repolarize after a spiking event.
Although the deterministic system only approximates the frequency of noisy limit cycle oscillations, in sparse networks, the oscillation frequency varies with parameters in a manner largely consistent with the deterministic Wilson-Cowan equations (figure 4).
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