Professional MATLAB source code with comprehensive documentation and examples
This project implements EEG signal processing using MATLAB for noise reduction and artifact removal, culminating in brain topographic map generation. The denoising toolkit includes: FastICA_25 folder containing FastICA function for independent compon
A simple yet computationally intensive implementation of Least Squares Support Vector Machine with practical algorithmic explanations
Comprehensive analysis of image quality evaluation techniques including subjective human assessment and objective algorithms like PSNR with code implementation insights.
A comprehensive study on reactive power optimization in power systems, implementing a hybrid approach combining Genetic Algorithm (GA), Simulated Annealing (SA), and Tabu Search (TS) methodologies for enhanced system performance.
Implementation of least squares method for ellipse fitting on discrete data points, uploaded after successful testing and validation of the algorithm's performance.
Partial Least Squares Regression Project: Problem Statement + Raw Data + Code Implementation (with Detailed Annotations!)
This algorithm calculates the center position of cross-shaped markers with sub-pixel accuracy, commonly used in 3D reconstruction where markers are placed on object surfaces. The implementation typically involves image processing techniques, pattern
Detailed UKF simulation program with comprehensive comments, featuring two demonstration cases (1D and 2D tracking scenarios). Includes performance comparison with EKF, clearly demonstrating UKF's superiority in nonlinear systems through practical co
MATLAB implementations of numerical algorithms including linear equations, nonlinear equations, least squares fitting, and related computational methods.
REDUCT_PAWLAK - An attribute reduction algorithm based on Pawlak's attribute significance measure
A custom-developed program for calculating chaotic Kolmogorov entropy, building upon existing methodologies. Successfully applied to compute K-entropy for numerous chaotic time series datasets.
Using MATLAB to simulate and evaluate the performance of scheduling algorithms in cellular network environments, including code implementation and algorithm analysis.
MATLAB implementation of the Local Mean Decomposition (LMD) method, successfully debugged and tested on MATLAB 7.0. This code demonstrates the complete signal processing workflow including envelope estimation, local mean calculation, and IMF extracti
Face recognition implementation based on PCA (Principal Component Analysis) and LDA (Linear Discriminant Analysis). The main function loads image files, applies preprocessing techniques, executes the face recognition algorithm with dimensionality red
A MATLAB program implementation for computing correlation dimension of chaotic time series using Grassberger-Procaccia algorithm
Implementation of Isomap manifold dimensionality reduction algorithm including Swiss Roll dataset generation and Dijkstra's shortest path algorithm for geodesic distance computation.
The Steepest Descent Method is an optimization technique that searches for the minimum of an N-dimensional objective function by following the negative gradient direction. This program implements the method to solve unconstrained optimization problem
Basis Pursuit reconstruction method in compressed sensing for sparse signal recovery with accompanying implementation for image reconstruction applications
MATLAB-based implementation of the BA scale-free network generation algorithm, featuring two fundamental characteristics: growth property and preferential attachment mechanism.
Orthogonal Matching Pursuit (OMP) Algorithm Based on Compressed Sensing - Efficient Signal Reconstruction with Code Implementation