Professional MATLAB source code with comprehensive documentation and examples
This implementation features the most advanced harmony search algorithm source code currently available on programming platforms, incorporating optimized memory considerations and efficient pitch adjustment operations.
A comprehensive MATLAB path planning solution with effective performance, suitable for academic projects and thesis demonstrations. Includes algorithm descriptions and reusable code components.
Implementation of the MUSIC algorithm utilizing fourth-order cumulants with comprehensive code annotations and performance analysis
The Shuffled Frog Leaping Algorithm (SFLA) is a novel optimization technique in evolutionary computing, originally introduced by Eusuff and Lansey in 2003 to address combinatorial optimization problems. This population-based metaheuristic mimics frog
Implementation of Direction-of-Arrival (DoA) estimation using Maximum Likelihood Alternating Projection iterative method - a highly practical approach with MATLAB/Python implementation considerations
RLS linear array algorithm utilizing recursive principles - excellent introductory learning material with code implementation insights!
GPS satellite signal acquisition program implementation with code-level insights into signal processing techniques and navigation algorithms.
An efficient A* algorithm implementation that enables dynamic obstacle and target point configuration for flexible path planning scenarios, featuring customizable heuristic functions and grid-based navigation.
Clustering and discriminant methods in spectral analysis, including: hierarchical clustering, K-means clustering, distance discrimination, SIMCA method, kNN method, with implementation approaches and key algorithms discussed.
Unscented Kalman Filter - Primarily applied for tracking in nonlinear systems, implementing sigma point transformation for improved state estimation accuracy.
MATLAB code for multi-target tracking with accompanying documentation. The background subtraction method enables real-time updates. This implementation performs well for detecting and tracking a small number of targets, but tracking performance signi
Principal Component Analysis (PCA) Algorithm is a dimensionality reduction technique used to simplify complex datasets. This algorithm can be implemented using covariance matrix computation and eigenvalue decomposition to identify dominant patterns i
Illustrating the fourth-order fixed-step Runge-Kutta algorithm through Lorenz attractor implementation, with detailed program specifications and code structure explanation
Basic Kalman Filter Algorithm for Target Tracking - Suitable for Thesis Design and Engineering Reference
A MATLAB program for navigation and positioning utilizing particle filter algorithm with code implementation details
A MATLAB program implementing Dijkstra's algorithm to compute the shortest path distances between all nodes in an undirected graph with nine vertices. The implementation includes detailed step-by-step explanations of the algorithm's execution process
Implementation of Iterated Function Systems (IFS) in fractal and chaos theory using MATLAB, featuring algorithmic approaches for generating complex patterns through iterative transformations.
Windows version of the newest convex optimization MATLAB toolbox developed by Professors Grant and Boyd from Stanford University
Uploaded source code implementation of the Interactive Multiple Model (IMM) tracking algorithm for target tracking applications, seeking technical exchange with tracking algorithm developers.
Using obtained known input-output data, identify the order and estimate parameters of a known system through developed fading memory augmented least squares identification software, validating the correctness of the programmed software with implement