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Different methods to reverse these changes have been investigated, including traditional resistance training, power training and eccentric (or eccentrically-biased) resistance training.
Algorithm 2 is slightly better than Algorithm 3 at high training power, but is slightly worse at low training power.
The figure also shows that Algorithm 3 is slightly better than Algorithm 2 at low and medium training power, but slightly worse at high training power.
It is significantly better than results in [19, 20] for most training power values.
They achieve significantly higher detection rate than schemes in [19, 20], especially for low training power.
Previous simulations show that our algorithms achieve higher rank detection probability in this training power range.
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Fig. 8 MSE of 8×8 MIMO systems for different average training powers.
Fig. 9 Outage probability of 8×8 MIMO systems for different average training powers.
Figure 1 shows the probabilities of correct rank detection for different average training powers, where T=M=8.
The probabilities of correct rank detection for different average training powers are shown.
Figure 1 provides a comparison of the Bayesian CRBs with the corresponding variances of channel estimators for varying training powers.
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