Explore MATLAB source code curated for "自然梯度算法" with clean implementations, documentation, and examples.
The Natural Gradient Algorithm is one of the most fundamental and effective methods for blind signal separation, leveraging information entropy and higher-order statistical properties for robust source separation.
Addressing the typical blind source separation problem using natural gradient algorithm for blind signal separation. The crosstalk error is employed as a key performance metric for evaluating signal separation quality. Implementation involves optimizing separation matrix updates through adaptive learning rules.
Natural Gradient Algorithm - An Efficient Optimization Approach with MATLAB Implementation for Machine Learning and Numerical Optimization Problems
This code implements the natural gradient algorithm (naturalness_gradient_arithmetic) using MATLAB, featuring mathematical formulation and optimization techniques suitable for collaborative learning
Simulation of blind source separation using natural gradient algorithm with learning convergence curve analysis and performance evaluation