Savitzky-Golay Filter

The Savitzky-Golay filter is a mathematical tool used to smooth noisy data, helping to reveal important trends or patterns. It works by fitting small sections of data to a simple polynomial (like a smooth curve) using least squares, then replacing each point with the value from this fit. This process reduces random fluctuations while preserving key features, such as peaks or dips, making it valuable in areas like signal processing and spectroscopy. Essentially, it smooths data gently without distorting essential information.