Explore MATLAB source code curated for "正则化方法" with clean implementations, documentation, and examples.
The L-curve method serves as a crucial technique for parameter selection in inverse problem regularization. This program demonstrates the implementation of optimal parameter selection using cross-validation techniques and error analysis.
Accelerated Landweber Iterative Regularization - An Excellent Regularization Approach with Enhanced Convergence Properties
Implementation of blurred image restoration using regularization techniques, generating an image with subsequent noise addition and image recovery through specific regularization parameter inputs.
MATLAB code implementation of the Generalized Cross-Validation (GCV) function with algorithm explanations and key usage scenarios