Basic Bayesian Transform for Compressed Sensing
A fundamental Bayesian transform approach for compressed sensing, including source code implementation with one-dimensional signal processing example and two-dimensional image processing demonstrations
Professional MATLAB source code with comprehensive documentation and examples
A fundamental Bayesian transform approach for compressed sensing, including source code implementation with one-dimensional signal processing example and two-dimensional image processing demonstrations
Localizing a Single Sound Source Using the SRP-PHAT Method with Practical Implementation Examples
Implementation of adaptive stochastic resonance algorithm with detailed explanations provided in code comments and technical annotations.
Implementation of Extended Kalman Filter algorithm package containing first-order and second-order EKF prediction M-files, featuring comprehensive state estimation for nonlinear systems with practical code examples.
An effective underdetermined blind source separation algorithm based on sparse variable representation, featuring robust implementation with code optimization for signal processing applications.
Images consist of multiple pixels that can be represented as single or multiple matrices. Automated center point detection in image processing eliminates tedious manual inspection processes and streamlines analysis workflows through algorithmic imple
Model Predictive Control code that utilizes system modeling and optimization techniques to achieve optimal control performance through predictive input adjustments
MATLAB common computational toolset featuring interpolation algorithms with code implementation examples.
MATLAB source code implementation of the classical Principal Component Analysis (PCA) method for facial feature extraction, including algorithmic implementation details for researchers and developers in computer vision.
This implementation includes file I/O functions for reading data from txt files, self-coded solution suitable for beginners with step-by-step algorithm explanation
Professor Cai Yuanli, Xi'an Jiaotong University, Stochastic Filtering and Optimal Estimation, Nonlinear Filtering, Kalman Filter, Minimum Variance Estimation
MATLAB code for particle filter implementation - a state-of-the-art nonlinear filtering algorithm with comprehensive code structure and function explanations
Classic Genetic Algorithm with Practical Code Examples
Image segmentation algorithm using region growing method to segment brain MRI images starting from a single seed point with implementation details
MATLAB Common Algorithm Collection for Equation Root Finding with Implementation Approaches
This implementation demonstrates the Subspace Pursuit Algorithm by Wei Dai and Olgica Milenkovic from their seminal paper "Subspace Pursuit for Compressive Sensing: Closing the Gap Between Performance and Complexity". The package requires installatio
This repository provides MATLAB source code for 3D maneuvering target tracking based on Kalman filter algorithm. The implementation demonstrates state estimation techniques for tracking dynamic targets in three-dimensional space. The code includes co
This resource provides three classical image fusion algorithms: Weighted Average, PCA, and IHS fusion, accompanied by detailed program explanations. It is particularly suitable for beginners in image fusion, offering insights into algorithm implement
MATLAB implementation of nonlinear filtering techniques with applications in three-dimensional maneuvering target tracking; covers algorithms like median filtering and adaptive median filtering
Validated MATLAB data reading code with implementation details