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As the binning on the spike does not exploit spike timing structure and may exclude rich neural dynamics in the modeling, the adaptive point process filtering methods have been developed to directly derive the kinematics from the spike trains [ 64, 65] with the modeling of the neural tuning properties to the instantaneous time instance and the connectivity among the neural ensemble [ 66, 67].
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Such a mapping of SINR is used to model the adaptive MCS applied in a system.
We can model the adaptive weight μ as a strictly monotonically decreasing function of W res(i).
To embed the watermark imperceptibly and robustly, they model the adaptive quantization steps by utilizing human visual system (HVS) characteristics and PSO algorithm.
A desire to model the adaptive evolution of continuous traits has given rise to a number of approaches that refine or extend the Brownian model.
In other words, if an additional artificial delay is introduced into the unknown system, this delay is also modeled by the adaptive filter.
Abrams, P. A. Modelling the adaptive dynamics of traits involved in inter- and intraspecific interactions: An assessment of three methods.
Based on proposed model the adaptive polychromatic interferometer could be designed.
Based on the nonlinear model, the adaptive controller with time delay is adopted to attenuate the free vibration of the smart beam.
And considering the uncertainty of the system model, the adaptive control strategy was designed and the stability was proved by constructing a Lyapunov function method.
Based on the improved friction model, the adaptive back-stepping sliding mode controller (SMC) is designed to improve tracking performance in the sliding and pre-sliding phases.
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