MATLAB Box-Counting Dimension Fractal Analysis
A MATLAB-based fractal computation program using box-counting algorithm for financial market analysis, materials science, medical research, and rock physics applications.
Blind Signal Separation: Theory and FastICA Algorithm Implementation
Blind Signal Separation (BSS) represents a cutting-edge research topic in signal processing with broad applications across wireless communications, medical diagnostics, speech processing, and seismic signal analysis. The FastICA algorithm, based on negentropy maximization, serves as a powerful method for separating mixed signals. This approach operates by processing non-Gaussian signals under independence assumptions to extract hidden source signals from observed mixtures. Key implementation aspects include whitening preprocessing, iterative optimization for independence, and convergence validation techniques.
Medical Brain Tissue Image Segmentation Using Type-2 Fuzzy Clustering Algorithm
Implementation of Type-2 Fuzzy Clustering Algorithm for Medical Brain Tissue Image Segmentation