Thus, we can expect to obtain module-regulatory networks by using the estimated parameter, i.e., F. For the estimation of gene regulatory network using parameters obtained above, we converted the SSM (equations 3 and 4) to a parsimonious representation of the first order vector autoregressive form as below where the autoregressive coefficient matrix is given by Ψ ≡ D T Λ FD.
In addition, at the MAC layer of eNodeB, we focus on the estimation of the playback time that the packets in MAC queue can support by using the estimated buffer status and the predicted transmission rate.
This control input is calculated by using the estimated parameters.
Finally, myocardial kinematic function can be recovered by using the estimated input forces.
By using the estimated luminance and chrominance information, the color constancy gains are obtained as (18).
Moreover, we calculate the capacity of the ergodic MIMO channel by using the estimated parameters.
The MMSE detector will be enhanced by using the estimated parameters.
Multiple target localization without range information can be achieved by using the estimated angles.
Fig. 7 Ego-motion flow calculated from Eq. (7) by using the estimated ego-motion parameters.
A second order polynomial model for exopolysaccharide and biomass production was constructed by using the estimated regression coefficients.
The copula parameters α are then derived as shown in Eq. (11) by using the estimated ( widehat{boldsymbol{theta}} ).
