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In [19], a priori SPP and a priori SNR were set as a fixed value.
We can set this as a fixed value since normalization results E [ | | x ̂ i | | 2 ] = 1 for BPSK signals.
In order to get reasonable and precise dynamic analytic result, the fractal theory is employed here to express the backlash instead of the existed way of setting backlash as a fixed value or a steady random number that meets the normal distribution.
When user j relays data to user i by using the transmission power p ji (set as a fixed value p ue in this paper) over a WiFi channel, the SINR for the user i is estimated by the following formula.
Besides, since the hop distance between the MAG and RP is set as a fixed value 5, which is more optimized than the path length of the MIP-BT/BS in the SPT case, the total cost of the MIP-RS/DMRS is lower than that of the MIP-BT/BS in the SPT case.
For single isolates with unrealistic sampling dates (e.g., laboratory contaminants and vaccine strains), the posterior distribution of the sampling date could be estimated during the analysis instead of being treated as a fixed value.
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Comparison of the numerical simulation results and the experimental results shows that the results of the simulation are similar to those of the experiments, with the output capacitance fluctuating around a fixed value as the steam flow rate changes and increasing linearly with increasing wetness.
But only cards carrying a fixed value -- as opposed to those that allow unlimited passage for a certain amount of time -- will work in the PATH turnstiles, which will deduct $1.50.
A Bayesian hierarchical model aims at explaining the uncertainty in the model from the observed data by treating latent variables as a probabilistic variable rather than a fixed value.
We implement a heuristic algorithm in this experiment by limiting the number of inner-iterations in each τ-step to a fixed value T. As we have seen, Algorithm 1 has two levels of convergence.
DS data flow is to be sectioned, and each section corresponds to a data flow subsequence and a certain number of attributes, which a data block is a basic window as W. 2) Sliding window: a sliding window SW corresponds to a continuous sequence of basic window 〈W 1, W 2, …, W k 〉, which contains the number of basic window with a fixed value k, as Fig. 4.
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