Fundamentals of Statistics contains material of various lectures and courses of H. Lohninger on statistics, data analysis and chemometrics......click here for more. 
Home Bivariate Data Smoothing SavitzkyGolay Filter  Coefficients  
See also: SavitzkyGolay filter, Parametric and NonParametric Tests  
SavitzkyGolay Filter  Coefficients
The following equation defines the general filter equation according to Savitzky and Golay. The particular behavior of the filter can be incfluenced by chosing appropriate filter coefficients. Thus one can generate both the moving average filter, the polynomial fit, and the smoothed derivatives simply by adjusting the coefficients of this equation. The parameter np defines the number of data points used for the smoothing.
Polynomial smoothing (cubic polynomials)As the coefficients of the polynomial fit are symmetric (a_{i} = a_{i}), only the positive coefficients are listed in the following table.
Smoothed first derivativeThe coefficients for the calculation of the smoothed first derivative are defined by the following simple relationship:a_{i} = i The standardization factors h are listed in the following table:
Smoothed second derivativeAs the coefficients of the second derivative are symmetric (a_{i} = a_{i}), only the positive coefficients are listed:


Home Bivariate Data Smoothing SavitzkyGolay Filter  Coefficients 
Last Update: 20121008