| .sits_signal_sgolay {sits} | R Documentation |
Computes the filter coefficients for all Savitzky-Golay smoothing filters of order p for length n (odd). m can be used in order to get directly the mth derivative. In this case, ts is a scaling factor.
The early rows of F smooth based on future values and later rows smooth based on past values, with the middle row using half future and half past. In particular, you can use row i to estimate x(k) based on the i-1 preceding values and the n-i following values of x values as y(k) = F(i,:) * x(k-i+1:k+n-i).
.sits_signal_sgolay(p, n, m = 0, ts = 1)
p |
Filter order (integer). |
n |
Filter length (must be odd) |
m |
Derivative to calculate (default = 0) |
ts |
Time scaling (integer). |
filter coefficients