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If (a) the provinces of trade equalization are equally or less developed than the specialized provinces and (b) one can identify these provinces through different quantiles and (c) the coefficient of equalized provinces at the proper quantile is greater, it means that the equalization is more conducive to technological innovation.
At this stage of the project, the equalization is based on a zero-forcing (ZF) method.
In the paper [14, 15], the equalization is carried out by using the Bayes risk criterion.
Furthermore, the equalization is only as complex as a single linear AEC system (assuming identical filter lengths).
Notice that in the initial equalization iteration, the information symbols are not available and the equalization is performed without the IBI cancellation.
However, the channel is dispersive at the subcarrier level and thus the equalization is not a straightforward task; see, e.g.,[3, 4].
Similar(47)
Regarding the tibia, the equalization was accomplished with a standard deviation of ± 7.3%.
In Figure8, the convergence of the CG equalization is plotted in terms of the bit error rate (BER) against the number of iterations at SNR=30 dB for Case I. Since ε<1, frequency-domain equalization (FDE) is carried out.
For both systems, the channel equalization is performed at the receiver in the frequency-domain by using a one-tap per subcarrier equalizer.
The channel equalization is performed in the frequency-domain using the Zero-Forcing technique as follows: (8).
The total execution time for the channel equalization is 210.7 μs per OFDM symbol which represents 1.15% of the frame duration.
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