Whittaker smoother for data with missing values

The Whittaker smoother is a signal processing tool that minimizes noise while preserving the overall trends of input data. It uses a penalized least squares method with a smoothing parameter 𝜆 and a difference operator of order 𝑑. Additionally, it uses an iterative imputation method to handle missing values effectively.