Assertion: signal | /r/HasProperty | contaminated by sharp spikes
Facets:
Source sentences:
text: Smoothing is useful if the signal is contaminated by non-normal noise such as sharp spikes or if the peak height, position, or width are measured by simple methods, but there is no need to smooth the data if the noise is white and the peak parameters are measured by least-squares methods, because the least-squares results obtained on the unsmoothed data will be more accurate (see CurveFittingC.html#Smoothing).