As a matter of fact, it necessitates the use of minimum number of full-adder blocks during implementation as compared to other existing coefficient representation schemes.
Finally, we have measured the computation times for our method (its MATLAB implementation) as compared to the competitors (see Table 4) in a server with 2 Intel Quad core Xeon E5504 CPUs and 16 GB of main memory.
In addition, FCS-MPC requires simpler implementation as compared to linear controllers, since saturation of the manipulated variables, anti-windup protection, decoupling networks, modulator and tuning of the controller parameters are not required.
We stress that the polynomial structure provides a green radio approach to precoding, since it enables energy-efficient multistage hardware implementation as compared to the complicated/inefficient signal processing required to compute conventional RZF.
To some extent, the results presented here include the existing results as a special case and the resultant control algorithms are fault-independent in that there is no need for explicit fault information in terms of its magnitude (size), or time instance of the fault occurrence, thus, is more user-friendly for control design and more feasible for implementation as compared with the existing work.
Faculty/attending physicians also were less likely to believe that their department would be able to address problems that arose during MU implementation as compared with residents/fellows.
Furthermore, physicians (28.4%) were significantly less likely to believe that their department would be able to address problems that arose during MU implementation as compared to advanced practice providers (42.6%) and nurses (47.1%) (p = 0.023).
Although the time spent on ANC increased in Tanzania and Ghana after the eCDSS implementation as compared to baseline, overall there was no significant increase in time used for ANC activities (0.51 min, p=0.06 in Ghana; and 0.54 min, p=0.26 in Tanzania) as compared to the control sites without the eCDSS.
The primary outcomes of this analysis were the sensitivity and specificity of the automated implementation as compared with the public reporting methods of Massachusetts Data Analysis Center (MASS-DAC) and the MA-DPH, assessed for hospital 30-day mortality after isolated coronary artery bypass graft surgery.
The proposed CF significantly reduces the implementation area as compared to CFIR.
