Recently, many sparsity based information processing methods have been proposed. We call them "sparse modeling" here. The most popular methods of sparse modeling are LASSO and compressed sensing. Here, we formulate LASSO from a Bayesian viewpoint, and explain how we apply the idea of sparse modeling to X-ray diffraction imaging.
