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This result in N f - 1 groups of LS estimates with virtual pilots equispaced of N f - 1 as well.
We apply an abstract perturbation theorem to derive global in time Lq estimates for the Cauchy problem and Lq − Ls estimates for the nonstationary Stokes equations in exterior domains.
Although published work on time-domain channel estimation showed that the estimation process can be performed directly in time domain, due to the common frequency-domain pilot arrangement, most of the publications on the topic of pilot-aided channel estimation use the frequency-domain least squares (LS) estimates as the starting point for the estimation process.
The OLR-MMSE estimator can be interpreted as first projecting the LS estimates onto a subspace and then performing the estimation.
Most publications on the topic of training-signal or pilot-aided channel estimation use the frequency-domain (FD) least squares (LS) estimates as the starting point for the analysis of the estimation algorithm or the design of the training sequence.
The remaining phase-rotation is naturally removed in the channel estimation process, assuming that the pilot-aided scheme calculates the LS estimates (back-rotated received signal).
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The here pointed importance of the introduced two LS estimates is that, while for two phases, the H S estimate types correspond with two of the only four possible phase arrangements, the LS estimate types correspond with the two other ones.
CosmOz SM measurements exhibited highest correlation with AWRA-L estimates for modelled root-zones layer thicknesses ranging from 20 cm to 1 m.
At higher BMD(L) estimates RNA-Seq values were higher, likely due to microarray signal compression.
The first comparison is the LHS, which reflects the accuracy and consistency of L estimates.
For example, at low BMD(L) estimates, Agilent values were higher compared to RNA-Seq due to poorer resolution at low expression levels.
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