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The quantization level has small effect to the algorithm 1 and it achieves almost same performance as full Pe case in the observing SNR range.
It achieves almost the same performance as the capacity-based algorithm and the Frobenius norm-based algorithm, and it is close to the optimal scheduling algorithm, and has better performance than the chordal distance-based algorithm for all SNR range.
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Even though LE did not approach the ideal line, it achieved almost 80% of the ideal value.
It can be observed that the system achieves almost the same bounds for Scenarios 2 and 3, and a little less for Scenario 1.
Again, it is seen that the proposed Robust-LPM achieves almost the same performance as the proposed Robust-SP.
It is also noted that RI-FJLT hashing still consistently achieves almost perfect identification accuracy under rotation attacks even with large rotation degrees.
It has been shown in [40] that LC-K-Best decoder achieves almost the same performance as the classical K-Best decoder with different modulations.
The nearest-neighbour classifier achieves almost the same absolute accuracy than AGEP, but it has serious limitations.
It is observed that the proposed Algorithm 1 based on Robust-LPM achieves almost the same average minimum SINR performance as that based on Robust-SP.
This approach achieves almost the same sum rates as the previous approach, but it leads to a lower computational effort.
G.M. also said that, like Ford, it would achieve almost all of its improvement through changes in conventional gasoline-powered engines, rather than by switching to potentially dirty diesel engines or introducing partly electric engines for which consumer demand is unclear.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com