Savitzky‐Golay filters use best least squares fit polynomials to approximate data and derivatives. They can be computed very rapidly. We implement Savitzky‐Golay filters in J and explore their behaviour on noisy time series data. Applications to remove noise from images and to detect edges in images are also considered.
Title
Savitzky‐Golay interpolation for smoothing values and derivatives