Assertion: signal's noise | /r/HasProperty | distributed over frequency
Facets:
value: evenly
type: DEGREE
Source sentences:
text: If the noise in the data is "white noise" (that is, evenly distributed over all frequencies) and its standard deviation is D , then the standard deviation of the noise remaining in the signal after the first pass of an unweighted sliding-average smooth will be approximately D over the square root of m ( D /sqrt( m )), where m is the smooth width.