Signal Smoothing: Savitzky-Golay Smoothing Algorithm
Like all smoothing algorithms in DSS(Digital Signal Smoothing) the Savitzky-Golay smoothing algorithm is a low-pass filter.
The mechanism behind the Savitzky-Golay filter is that it finds the coefficients that preserve higher moments of the signal. Where as in the moving average filter uses a constatnt to aproximate the underlying function the Savitzky-Golay filter uses a polynomial of higher order.
Here,
nL - the number of points used to the left of the data point
nR - the number used to the right
cn - fiter coefficient
fi - data point
However the Savitzky-Golay filter with in limits does manage to provide smoothing without loss of resolution unlike other DSS algorithms.
Reference
Authour : Udara Deraniyagala
Here,
nL - the number of points used to the left of the data point
nR - the number used to the right
cn - fiter coefficient
fi - data point
However the Savitzky-Golay filter with in limits does manage to provide smoothing without loss of resolution unlike other DSS algorithms.
Reference
Authour : Udara Deraniyagala
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