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As mentioned before, the estimate can be improved with the use of previous measurements.
The performance of the least-squares (LS) CIR estimate can be improved by first applying a CFO synchronization method.
The estimate can be improved by averaging techniques such as least squares linear curve fitting over all pilot pairs that are sufficiently closely placed within a frame.
It also shows that the speech intelligibility improvement of SBB can be improved significantly if the accuracy of the SNR estimate can be improved.
We would expect that the error term in the asymptotic estimate can be improved at least to the value (p^{n}) appearing in our upper bound.
This estimate can be improved by averaging data over many respondents (9).
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Moreover, we study how these estimates can be improved by two different estimation procedures.
Furthermore, it is demonstrated that radar rainfall estimates can be improved significantly by implementation of a novel advection interpolation technique.
It has been suggested that estimates can be improved by building species- or strata-specific biomass models.
There is currently great uncertainty concerning the effects of residue incorporation/removal, but estimates can be improved by using well-documented, frequently sampled long-term experiments (LTEs).
In addition, the estimates can be improved by using prefilters.
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