The Noise Statistics calculates the Signal/Noise ratio and some other
statistic values of one or more data objects available in the current
data view. The Signal/Noise ratio can be calculated for a particular spectral
region or the whole data range.
Some characteristic values are calculated for the noise statistics result:
Mean Value
The mean value M calculates
the mean of all intensities Siin
a user defined spectral range of interest. The following equation is applied:
Where
M:
Mean intensity value
N:
Number of data points in range
Si: Intensity values
Peak-to-peak Deviation
The peak-to-peak deviation is calculated from a linear least squares
fit among a spectral windows. Calculation considers the baseline respectively.
The following equation is used:
Where
Dp-p: Peak-to-peak
deviation (baseline corrected)
(Fcenter-Fwing..Fcenter+Fwing): Specifies
start and end point of the range of interest
Yi: Linear function
determined from a linear least squares fit among data points.
Si: Intensity values
Standard Deviation
The standard deviation for baseline-corrected data is calculated from
the following equation:
Where
Dst: Standard deviation
N:
Number of data points in range
Si: Intensity values
Yi: Linear function
determined from a linear least squares fit among data points.
Signal to Noise Ratio Peak-to-Peak
The signal to noise ratio peak-to-peak is calculated using the following
equation:
Where
SNRp-p: Peak-to-peak
Signal to Noise Ratio
M:
Mean intensity value
Dp-p: Peak-to-peak
deviation (baseline corrected)
Signal to Noise Ratio Root Mean Square Error
The root mean square error (RMS) for the signal to noise ratio is calculated
using the following equation:
Where
SNRRMS: Signal to
Noise Ratio Root Mean Square Error
