MATLAB Implementation of Optimization Algorithms: Powell Algorithm Code
MATLAB-based optimization algorithm implementation featuring the classic Powell method - an excellent program with clean, understandable code for nonlinear minimization problems
Professional MATLAB source code with comprehensive documentation and examples
MATLAB-based optimization algorithm implementation featuring the classic Powell method - an excellent program with clean, understandable code for nonlinear minimization problems
This implementation presents an enhanced compressed sensing signal recovery algorithm that improves upon the greedy iterative Orthogonal Matching Pursuit (OMP) method. The conventional OMP algorithm selects suboptimal atoms during each iteration, fai
MATLAB simulation of GPS signal acquisition with coherent and non-coherent integration algorithms, providing accurate signal detection and processing results
A simulation program for multi-target tracking based on fuzzy adaptive interacting multiple models, including performance comparisons with conventional tracking methods and algorithm implementation details.
Download now for essential chaotic systems source code - classic algorithms provided by research community including small data sets method, Wolf exponent calculation, mutual information analysis, comprehensive chaos prediction programs and more.
The RRT (Rapidly-exploring Random Tree) algorithm is a sampling-based planning method that generates executable trajectories through kinematic and dynamic simulations. It avoids explicit space modeling by performing collision detection on sampled poi
A facial recognition program implementing Principal Component Analysis (PCA) for feature extraction and Support Vector Machine (SVM) for classification - shared with the technical community!
Implementation of hill climbing method for optimization problems using 4 separate files with functions and scripts organized modularly
Maximum Likelihood Method under Gaussian Colored Noise!!! Comparing Key Differences and Implementation Approaches
Implementation of Gaussian Model Background Removal in MATLAB for Image Processing Applications
Sparse representation algorithms on overcomplete dictionaries and K-SVD algorithm - Advanced techniques for high-dimensional data analysis with code implementation insights
Performance analysis of M-OMP (Multipath Orthogonal Matching Pursuit), MP (Matching Pursuit), and OMP (Orthogonal Matching Pursuit) algorithms in compressed sensing, focusing on detection probability evaluation and implementation characteristics.
This program enables fast simultaneous localization and mapping (SLAM) with three predefined path configurations, serving as valuable learning references for algorithm implementation and customization.
A comprehensive MATLAB simulation package implementing Square-Root Cubature Kalman Filter (CKF), Unscented Kalman Filter (UKF), and Extended Kalman Filter (EKF) algorithms with detailed code annotations and flexible customization options.
MATLAB m-file implementation for least squares surface fitting of 3D data z=f(x,y) using polynomial approximation
A kurtosis-based blind source separation algorithm implementation featuring comprehensive data visualization subroutines for signal analysis.
Comparative analysis of four image fusion techniques (IHS, PCA, Wavelet, and Wavelet-PCA Hybrid) between panchromatic and multispectral images, including implementation methods and evaluation metrics calculation (Information Entropy, Q4, etc.)
Original implementation of the MUSIC algorithm with enhanced code-related descriptions for signal direction estimation
This algorithm provides detailed descriptions of commonly used kernel functions and visualizes their characteristics through 3D graphical representations, including implementation insights for machine learning applications.
Comprehensive collection of classification algorithms including SVM, kNN, and Decision Trees with detailed documentation and code implementation insights