Assertion: signal's noise | /r/AtLocation | the signal
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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.
text: If the noise is "white" (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 one pass of a rectangular smooth will be approximately D /sqrt( m ), where m is the smooth width.