Regularized Least Squares Approximation of Noisy Continuous Functions on the Unit Circle

The core message of this article is to propose a regularized least squares method for reconstructing continuous periodic functions from their noisy values at equidistant nodes on the unit circle, and to analyze three parameter choice strategies - Morozov's discrepancy principle, L-curve, and generalized cross-validation - to determine the optimal regularization parameter.