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Moreover, an efficient FPGA-based transceiver implementation was shown.
The policy instruments we focus on below were therefore those whose variation in implementation was shown or suggestive to be the most significant for population health and health inequalities.
Due to the lack of maternal pedigree information, this implementation was shown to be considerably superior to the use of a numerator relationship matrix based upon pedigree data (Rolf et al. 2010).
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The proposed algorithm is implemented on Xilinx XC2V3000-6FG676 FPGandand the architecture of hardware implementation is shown in Figure 8.
Some results of our implementation are shown.
fixed-point implementation is shown to be 6%.
A schematic for an eventual in vivo DC-MRF implementation is shown in Supplementary Fig. S3.
The mean calculated location error due to fixed-point implementation is shown to be 6%.
Our implementation is shown to be able to achieve second-order accuracy globally.
Furthermore, the FFMM implementation is shown to provide a reusable and scalable measurement software.
The parameters identification procedure is analyzed and the MATLAB/Simulink implementation is shown.
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