Sentence examples for mu estimation from inspiring English sources

TA is normally innervated by a very large number of motor units so that a reliable assessment of motor unit number in TA is not possible using the method of motor unit (MU) estimation employed in this study.

For source estimation of mu rhythm, the electrodes in the vicinity of left and right sensorimotor cortex were first selected for the regions of interest (ROIs).

The center and right figures show us the effect of capacity estimation with MU-MIMO modes.

Proposition 2: The lower bound of the capacity estimation of MU-MIMO with BD is given by (22), while the upper bound of the capacity estimation of MU-MIMO with BD is given by (23).

Proposition 4: The lower bound of the ergodic capacity estimation of MU-MIMO with BD is given by R b Ergodic - 1 ow ≈ W ∑ k = 1 K a C iso ( β ^ k, β ^ k γ ^ k ), (31).

while the upper bound of the ergodic capacity estimation of MU-MIMO with BD is given by R b Ergodic - upp ≈ W ∑ k = 1 K a C iso ( β ^ k, β ^ k γ ^ k ) + 1 β ^ k log 2 ( e ), (32).

end{aligned} We can get the error estimation (3.13) for (T-T_{mu}^{n}) by taking the infimum over (W_{mu}).

Although the outer loop link adaptation [36, 37] can help to adjust the estimated MCS for SU-MIMO and compensate for systematic CQI estimation errors, for MU-MIMO in particular, the mismatch between the estimated MU-MIMO CQI and the true channel CQI could still significantly degrade the system performance.

In [8], the authors studied upper and lower bounds on the achievable sum-rate of a correlated/uncorrelated MU-MIMO channel with channel estimation error and feedback delay.

Replacing R k by (underline {R}{{_{k}^{mathrm {Z}}}}) and (underline {R}{{_{k}^{mathrm {M}}}}), we can obtain the lower bounds of the SE and EE for the shared-antenna FD massive MU-MIMO system with imperfect estimation.

Although a more complicated receiver could be used in each "equivalent SISO system" to demodulate the data stream to obtain better performance, the main purpose of this article is to investigate the impact of CSI delay and channel estimation error on MU-MIMO systems, so we use the simple receiver "ZF equalizer" in this article to demodulate each data stream.