where P is a given constant value considered as the total power of training matrix.
Actually, (19) measures the power of training sample whitened by ( {mathbf{R}}_c^{-1/2} ).
Given a constraint which effectively limits the transmit power of training signals, we also investigate the optimal design of training signals under both criteria.
On the other hand, as the power of training symbols increases, the difference between the MMSE channel estimator variance and the Bayesian lower bound achievable is negligible.
As more adopters demonstrate the power of training the brain to train the body, neurostimulation has the potential to become a part of every professional athlete's warm up, because they can't afford to give up that edge.
In this study, we present a methodology for determining the length and transmission power of training signals that allow for producing estimates of MIMO channels with a given estimation error and minimal joint energy consumption among transmitter and receiver.
The advantage of NLMS-based adaptive sparse channel estimation it that it can mitigate the scaling interference of training signal due to the fact that NLMS-based methods estimate the sparse channel by normalizing with the power of training signal x t).
To illustrate my concern regarding correlation between limitation of training sets and reliability and predictive power of TFSVM, I provide the results of my own analysis of predictive power of training sets and the results of comparison of the prediction with published data.
Although the power of trains and the rectifier property are non-linear, Eq. 14 can be transformed into a linear equation at each iteration when the initial or previously known voltage of all buses is assumed.
In his words, Hansen wanted his work to express "the immutable calm of intellectual resolution, and the enormous power of trained physical strength, equally enthroned in placid triumph of scientific accomplishment", because "[t]he building of Hoover Dam belongs to the sagas of the daring".
