Professional MATLAB source code with comprehensive documentation and examples
MATLAB implementation of Principal Component Analysis (PCA) and its enhanced variant Multilinear PCA (MPCA) for face recognition applications, featuring complete source code with dimensionality reduction and feature extraction functionalities.
MATLAB source codes for three widely-used image fusion algorithms: IHS transformation, PCA-based fusion, and weighted fusion methods, including implementation details and algorithm explanations.
An exploration of radar and infrared target tracking fusion, including algorithm implementation and integration techniques
Function Description: MATLAB implementation of the Levinson-Durbin algorithm for autoregressive (AR) model parameter estimation. The algorithm efficiently computes AR coefficients through recursive solution of the Yule-Walker equations using backward
Linde, Buzo, and Gray (LBG) introduced a vector quantization design algorithm using a training sequence, eliminating the need for complex multi-dimensional integration. The LBG algorithm operates iteratively, processing extensive vector sets—typicall
Implementation of classic Iterative Closest Point (ICP) algorithm for registering two spatial point clouds with code-level insights
Source code implementation of one-dimensional MUSIC algorithm for microphone array-based sound source localization, featuring signal processing workflow and eigen decomposition methods
Extended Kalman Filter routine where 'data' represents input dataset and 'EKF' function processes the data through nonlinear state estimation
Implementation of Kolmogorov entropy calculation and Lyapunov exponent algorithms for determining whether a sequence exhibits chaotic behavior
MATLAB decision tree implementation - input your data and variable names to generate comprehensive decision tree results including model construction, visualization, and predictive analysis capabilities.
Smoothing and Sharpening (Edge Detection) in Digital Image Processing. Includes: 1. Adding salt-and-pepper and Gaussian noise. 2. Smoothing noise-contaminated images using neighborhood averaging, median filtering, and K-nearest neighbor averaging met
A self-developed least squares image matching program written in August 2012, thoroughly tested with comprehensive code comments, featuring robust pixel-level registration capabilities and error minimization techniques.
The SL0 algorithm is a novel sparse reconstruction technique in compressed sensing that approximates the L0-norm optimization problem using smooth functions like Gaussian functions, transforming NP-hard problems into smooth convex optimization proble
GPS/INS Position Integration Output Correction Matlab Simulation File Description: s_GPS_INS_position_sp_demo.m - Main integration file implementing the correction framework kalman_GPS_INS_position_sp_NFb.m - Kalman filter program with specia
A fundamental Unscented Kalman Filter program suitable for beginners, featuring practical examples and code implementation details for enhanced learning
The unit shortest path algorithm using maximum adjacency point storage utilizes the maximum number of adjacent nodes in a network as a key parameter. By taking the maximum adjacency count as matrix columns and total node count as rows, it constructs
Implementation of compressive sensing signal reconstruction using the Basis Pursuit (BP) algorithm, requiring known observation basis matrix and measurement vector
Implementation of Durbin Algorithm for Linear Predictive Coding (LPC) Coefficient Calculation
Implementation of texture image segmentation based on Gray-Level Co-occurrence Matrix (GLCM) feature extraction and K-Means clustering algorithm using MATLAB
A hybrid algorithm combining NSGA-II and Differential Evolution for solving multi-objective optimization problems, featuring enhanced convergence and constraint handling capabilities