Explore MATLAB source code curated for "ICA算法" with clean implementations, documentation, and examples.
Source code from my recent paper focusing on extending ICA algorithms with reference signals, implementing a multi-reference fixed-point algorithm for independent component analysis with enhanced robustness.
MATLAB-based simulation program for image mixing and separation implementing Independent Component Analysis (ICA) algorithm with detailed code implementation and signal processing features.
Comprehensive source code implementation of the extended Infomax ICA algorithm with detailed technical explanations and optimization techniques
Implementation of ICA Algorithm for Face Recognition Using MATLAB
The ICA algorithm and implementation program is developed through MATLAB simulation, featuring excellent performance with detailed code implementation for signal separation and component extraction.
FASTICA algorithm for complex-valued signals, similar to ICA algorithm but specifically designed for processing complex data with enhanced separation capabilities through negentropy optimization.
A facial recognition program implementing the Independent Component Analysis (ICA) algorithm, developed by an exceptionally skilled expert with comprehensive code implementation
This document presents the Independent Component Analysis (ICA) algorithm, which is equivalent to Bell and Sejnowski's 1995 Infomax approach [1] formulated using maximum likelihood estimation. The implementation assumes no noise and requires the number of observations to equal the number of sources. Optimization is performed using the BFGS method [2], with dimensionality reduction via PCA and independent component count determination using Bayes Information Criterion (BIC) [3].
A comprehensive overview of the ICA algorithm detailing its key computational steps, accompanied by a practical example with executable MATLAB code to facilitate immediate implementation and testing.
Independent Component Analysis ICA Algorithm for Blind Signal Separation, implemented in MATLAB with practical code examples