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chdim100/Weighted-Sparse-Bayesian-Learning-for-Electrical-Impedance-Tomography

A MATLAB code package to perform Weighted Sparse Bayesian Learning for EIT using Bound-Optimization. Allows parametrization, compares quantitatively and qualitatively with Regularization (L2 and L1) and EM-based Block Sparse Bayesian Learning. A Python demo is also included.

语言:MATLAB · GitHub 星标:16 · Fork:2

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