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In such conditions, a rigid communication procedure, where each user must be aligned before the transmission can start, is inadequate.
We use a random assignment procedure, where each vacant apartment is contacted by only one of the eight applicants.
The restoration involves an iterative procedure where each iteration selects a set of interpolated samples depending on the value of the quality factor of the previous iteration.
Thus, the Distributed technique is an iterative procedure where each link continually updates its configuration selection in response to changes in the interference.
The rest of the localization procedure where each node in is multilaterated in order is the same as the centralized localization method of [4].
CHs are assigned as a result of a random procedure, where each node can declare itself as a CH with some probability.
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There exist procedures where each single particle is still selected with probability p ℓ i, but with reduced overall variance, for instance stratified resampling or systematic resampling which should be preferred [ 24, 25].
Recently, machine-learning theory has been used to formulate the network inference problem as a series of supervised gene selection procedures, where each gene in turn is designated as the target output.
The algorithm consists of an iterative procedure where in each cycle at first all BSs broadcast the BS weights to all users.
To achieve a super-resolved image stably, we propose an iterative procedure where in each stage the aperture data is extrapolated doubly and the maximum likelihood (ML) estimate of the Laplace scale parameter is updated.
This leads to a sequentially rejective multiple test procedure, where at each step either bivariate Dunnett z tests or individual z tests are used.
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