Sentence examples for impairment estimation from inspiring English sources

In this paper, we first investigated two estimation issues of RF impairments: a saturation bias of nonlinearity estimates and limited resources for RF impairment estimation.

We focused on two main problems while applying the estimators of RF impairments to a large-scale RF-FPGA system: two saturation areas of nonlinearity estimates and limited resources in RF impairment estimation procedures.

The EAF-MR method has the following contributions: (1) RF impairment estimation in a large-scale RF-FPGA: we propose a method that estimates unknown RF impairments of the configurations that can not directly estimated using baseband signals in a large-scale RF-FPGA.

In this section, we discuss how the design of RF impairment estimation for a large-scale RF-FPGA improves the efficiency of RF impairment estimation.

First, we studied RF impairment estimation for a large-scale RF-FPGA system.

Fig. 7 Simulation results for RF impairment estimation using the design of experiments (DoE) method.

Plaques were not associated with impairment and estimation of the risk for impairment associated with NFT was not significant but greater than one.

In the case of renal impairment, the estimation of GFR identified an additional 13.4% of patients with T2DM with renal impairment who would not have been diagnosed only with the measurement of plasma creatinine.

We studied patients with cerebellar ataxia controlling their arm force isometrically; in this condition arm dynamics are absent and there is no need for (or effect from an impairment in) estimations of limb dynamics.

Also, it is seen that small beamforming impairments (DOA estimation errors and angle spreads) only affect the outage probability very slightly, and the mutual coupling between adjacent antenna elements does not affect the outage probability noticeably.

For RF impairment information, the estimation methods of RF impairments are designed as presented in [9 11].