It has recently been recommended that typical preprocessing tools, such as linebroadening, zero-filling and apodization (cutting), generally be avoided prior to signal quantification via consensus. To date, little explanation has been provided against these tools which have become commonplace. Here we demonstrate via realistic Monte Carlo simulations that such preprocessing tools may reduce the precision of the extracted parameters and artificially reduce the Cramér-Rao Lower Bounds and provide a theoretical outline for why they should be avoided.
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