Prefer a chat interface with context about you and your work?
Learning spectral windowing parameters for regularization using unbiased predictive risk and generalized cross validation techniques for multiple data sets
During the inversion of discrete linear systems noise in data can be amplified and result in meaningless solutions. To combat this effect, regularization is imposed during the inversion. The influence of provided prior information is controlled by non-negative regularization parameter(s). There are a number of methods used to select appropriate …