Professional MATLAB source code with comprehensive documentation and examples
Original PCA implementation code with proven effectiveness - try it to experience its utility. This resource aims to assist users in understanding and applying dimensionality reduction techniques through practical MATLAB examples.
Implementation code for Markov Decision Process algorithms including value iteration and policy iteration, downloaded from international websites with detailed explanations and practical utility.
This program achieves 3D target tracking and monitoring using the Extended Kalman Filter (EKF) algorithm, which handles nonlinear systems through linear approximation and recursive state estimation.
MATLAB program implementing ADMM (Alternating Direction Method of Multipliers) algorithm to solve group lasso optimization problems, featuring parameter customization and detailed implementation comments.
Compressive Sampling Matching Pursuit (CoSaMP) algorithm for sparse signal reconstruction in compressed sensing systems
This program demonstrates the application of 2D normalized cross-correlation for pattern matching and target tracking. Users are prompted to select regions of interest (ROI) and specify the number of similar targets to track. The normalized cross-cor
Custom watershed algorithm program implementation with detailed code structure and technical explanations for image processing applications
A MATLAB simulation program for vector quantizer computation implementing the LBG algorithm with detailed code implementation and performance analysis.
A clear and understandable MATLAB implementation of the LLL lattice reduction algorithm with detailed code explanations
Gaussian Beam Shaping Design Based on MATLAB GS Algorithm with Code Implementation Details
KSVD Algorithm Program: Complete Implementation for Dictionary Reconstruction using KSVD
Principal Component Analysis code implementation - A dimensionality reduction tool featuring PCA algorithm and feature extraction methods
Explore various machine learning techniques available in MATLAB, including how to quickly explore data, evaluate machine learning algorithms, compare results, and apply the optimal machine learning approach to your specific problems. The focus covers
This program implements the time-frequency domain separation algorithm in blind source separation, featuring wide application scope and practical implementation approaches for signal processing tasks.
MATLAB implementation for solving nonlinear least squares optimization problems with practical code examples and algorithm explanations
MATLAB-implemented finite element program for crack propagation computation with extended finite element method (XFEM) capabilities
Principal Component Analysis demonstrates strong performance in image fusion applications, particularly excelling at spatial feature preservation while showing relatively weaker spectral characteristic retention, with implementation involving covaria
Super Resolution Technology Enables Various Algorithm Implementations for Image Enhancement
This MATLAB code provides detailed feature extraction methods for traffic sign detection. Traffic sign recognition is crucial for preventing hazardous accidents, implementing algorithms for robust detection under various lighting conditions using ima
1. Master MATLAB techniques for computing Lagrange, piecewise linear, and cubic spline interpolation methods, including node quantity variation analysis and comparative evaluation of interpolation results. 2. Develop proficiency in implementing linea