R: Savitsky-Golay smoothing filter coefficients

.sits_signal_sgolay {sits} | R Documentation

## Savitsky-Golay smoothing filter coefficients

### Description

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).

### Usage

    .sits_signal_sgolay(p, n, m = 0, ts = 1)

### Arguments

`p` | Filter order (integer).
`n` | Filter length (must be odd)
`m` | Derivative to calculate (default = 0)
`ts` | Time scaling (integer).

### Value

filter coefficients

[Package sits version 0.15.1 Index]