Professional MATLAB source code with comprehensive documentation and examples
A comprehensive MATLAB implementation of PCA algorithm, featuring detailed code explanations, data visualization techniques, and dimensionality reduction demonstrations for machine learning applications.
MATLAB implementation of the Levenberg-Marquardt algorithm for nonlinear least squares curve fitting, including code examples and parameter optimization guidance.
An adaptive Kalman filter algorithm for target localization through multi-sensor information fusion, featuring automated covariance matrix adjustments based on sensor data inputs
Reliable EM algorithm implementation sourced from MATLAB's official repository, providing robust data processing capabilities.
This paper presents a two-dimensional frequency estimation algorithm designed to automatically pair estimation results across different dimensions. The approach transforms the 2D frequency estimation problem into two generalized eigenvalue problems u
MATLAB implementation of k-means clustering algorithm with detailed code explanations and performance evaluation techniques
Simulation and comparison of six key VBLAST detection algorithms (ZF, MMSE, SIC, ZF/MMSE-SIC, OSIC, SQRD) with MATLAB code implementation and performance analysis
Implementation of delay estimation algorithms for microphone array sound source localization, featuring comparative performance analysis with other algorithms to determine optimal solutions
Two Maximum Likelihood-Based DOA Estimation Methods Using Compressed Sensing - Algorithm Implementation and Performance Analysis
A custom MATLAB implementation of the Expectation Maximization (EM) algorithm, featuring detailed execution methods and program explanations. This resource provides particularly valuable assistance for beginners learning this algorithm.
Weighted Total Least Squares MATLAB Toolbox with complete source code implementations for various total least squares algorithms including standard and weighted approaches, featuring robust numerical computation methods and matrix operation optimizat
This program simulates radar target tracking with Kalman filter implementation, demonstrating trajectory estimation error comparison between filtered and actual trajectories. It provides separate visualization of tracking errors in X and Y directions
Implementation of RBF Neural Network Using K-Means Clustering Algorithm with Code Integration and Parameter Optimization
This program implements rapid aircraft identification and localization using known aircraft templates, employing template matching algorithms for efficient real-time processing.
This project provides a MATLAB implementation of the graph cut algorithm featuring parameter estimation capabilities applicable to 3D reconstruction. The code demonstrates energy minimization using max-flow/min-cut optimization with adjacency matrix
Color Image Segmentation Method via Region Growing with Watershed-Based Automatic Seed Selection
Implementing Floyd's algorithm in MATLAB to compute shortest paths and routing tables between arbitrary nodes in a graph structure
Tabu Search Algorithm Implementation in MATLAB with Efficient Instance Solutions within Practical Time Frames
System Identification with Implementation Approaches
An excellent MATLAB-based PLS toolbox capable of performing principal component analysis for multilinear data and partial least squares regression, featuring customizable parameters and validation methods.