It is known that the observed distribution of frequencies in CoRoT and Kepler{\delta} Scuti stars has no parallelism with any theoretical model.Pre-whitening is a widespread technique in the analysis of time series withgaps from pulsating stars located in the classical instability strip such as{\delta} Scuti stars. However, some studies have pointed out that thistechnique might introduce biases in the results of the frequency analysis. Thiswork aims at studying the biases that can result from pre-whitening inasteroseismology. The results will depend on the intrinsic range anddistribution of frequencies of the stars. The periodic nature of the gaps inCoRoT observations, just in the range of the pulsational frequency content ofthe {\delta} Scuti stars, is shown to be crucial to determine their oscillationfrequencies, the first step to perform asteroseismolgy of these objects. Hence,here we focus on the impact of pre-whitening on the asteroseismiccharacterization of {\delta} Scuti stars. We select a sample of 15 {\delta}Scuti stars observed by the CoRoT satellite, for which ultra-high qualityphotometric data have been obtained by its seismic channel. In order to studythe impact on the asteroseismic characterization of {\delta} Scuti stars weperform the pre-whitening procedure on three datasets: gapped data, linearlyinterpolated data, and ARMA interpolated data. The different results obtainedshow that at least in some cases pre-whitening is not an efficient procedurefor the deconvolution of the spectral window. therefore, in order to reduce theeffect of the spectral window to the minimum it is necessary to interpolatewith an algorithm that is aimed to preserve the original frequency content, andnot only to perform a pre-whitening of the data.
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