MATLAB Implementation of Independent Component Analysis (ICA) with Complete Source Code
A comprehensive ICA source code implementation featuring key algorithms and functions, designed for both educational and professional applications.
MATLAB Implementation of Non-Negative Matrix Factorization
Non-Negative Matrix Factorization is a novel subspace decomposition method that incorporates non-negativity constraints, proving more effective than traditional PCA and ICA approaches for certain applications
Pattern Recognition MATLAB Toolbox with Comprehensive Algorithm Implementation
Pattern Recognition MATLAB Toolbox featuring key algorithms including SVM, ICA, PCA, Neural Networks, and more, with practical code implementation examples and technical reference value
Implementation and Analysis of ICA and Kernel ICA Algorithms
This MATLAB implementation features highly efficient Independent Component Analysis (ICA) and Kernel ICA (KICA) algorithms, validated through experiments using the ORL face database with demonstrated rapid processing capabilities.
ICA Successfully Separates Various Artifact Signals from EEG Data
Experimental results using S-function demonstrate that ICA can effectively isolate multiple artifact signals including ECG and EOG contained within EEG signals, with practical implementation insights for signal processing algorithms.
MATLAB Implementation of ICA-Based Face Recognition
A MATLAB-based face recognition program utilizing Independent Component Analysis (ICA) algorithm, achieving high recognition accuracy with optimized preprocessing and computational efficiency.
MATLAB Implementation of Independent Component Analysis (ICA) for Ear Recognition
Self-developed ICA source code for ear identification applications, featuring clearly structured implementation with detailed algorithm explanations for easy comprehension and customization.
A Fast ICA Algorithm
Fast ICA, a rapid independent component analysis algorithm with complete research papers available in two formats (PDF and PS), featuring efficient implementation and signal separation capabilities.
Non-Negative Matrix Factorization (NMF) and Its Subsequent Variants Compared with Independent Component Analysis (ICA)
The study covers Non-Negative Matrix Factorization (NMF) along with its subsequent algorithmic variants and comparative analysis with Independent Component Analysis (ICA), incorporating code implementation insights and application scenarios.
Feature Extraction for 1D Signal Time Series Using MATLAB
Implementation of feature extraction methods for 1D signal time series using MATLAB, including Independent Component Analysis (ICA) and wavelet packet-based approaches, with code-level implementation insights.