Wavelets are a method for nonparametric regression. The resulting estimators of are one of the few examples of estimators that are not linear smoothers.
Roughly speaking, they can be generated by solving quadratic optimization problems with or norm regularization (instead of higher norms which are differentiable and thus give nice closed form solutions which are linear).