Explore MATLAB source code curated for "Bayesian" with clean implementations, documentation, and examples.
This resource provides implementations and explanations of three prominent denoising techniques: Bayesian Least Squares Gaussian denoising, Block-Matching and 3D filtering (BM3D), and Non-Local Means algorithm.
A Markov Chain Monte Carlo implementation of Differential Evolution genetic algorithm: enabling efficient Bayesian computation in real parameter spaces with population-based sampling and adaptive proposal mechanisms
This implementation presents a Bayesian ICA algorithm designed for linear instantaneous mixing models with additive Gaussian noise [1]. The inference problem is resolved through ML-II estimation, where sources are determined by integrating over the source posterior distribution while noise covariance and mixing matrix parameters are optimized by maximizing the marginal likelihood [1].
Bayesian Alpha Matting: A probabilistic approach for precise foreground-background separation using Bayesian statistical methods, with applications in computer vision and image processing.
Bayesian Compressed Sensing - Advanced signal reconstruction through probabilistic modeling and sparse sampling algorithms