# sgolayfilt

Savitzky-Golay filtering

## Description

## Examples

## Input Arguments

## Output Arguments

## Tips

Savitzky-Golay smoothing filters are typically used to "smooth out" a noisy signal whose frequency span (without noise) is large. They are also called digital smoothing polynomial filters or least-squares smoothing filters. Savitzky-Golay filters perform better in some applications than standard averaging FIR filters, which tend to filter high-frequency content along with the noise. Savitzky-Golay filters are more effective at preserving high frequency signal components but less successful at rejecting noise.

Savitzky-Golay filters are optimal in the sense that they minimize the least-squares
error in fitting a polynomial to frames of noisy data. See `sgolay`

for more information about the Savitzky-Golay algorithm.

## References

[1] Orfanidis, Sophocles J. *Introduction to Signal
Processing*. Englewood Cliffs, NJ: Prentice Hall, 1996.

[2] Schafer, Ronald. “What Is a
Savitzky-Golay Filter? [Lecture Notes].” *IEEE Signal Processing
Magazine* 28, no. 4 (July 2011): 111–17.
https://doi.org/10.1109/MSP.2011.941097.

## Extended Capabilities

## Version History

**Introduced before R2006a**