Kalman Filter for Data Fusion
Kalman filter implementation for data fusion that performs matrix-weighted fusion of filtering results from multiple sensors to obtain precise output estimates
Unscented Kalman Filter Program
MATLAB implementation of an Unscented Kalman Filter algorithm for dynamic state estimation.
Chaotic Mapping Poincaré Interface
MATLAB implementation for chaotic mapping Poincaré interface - a compact yet powerful program demonstrating chaotic dynamics visualization
MATLAB Implementation for Solving Fractional-Order Reciprocal Chaotic Systems
MATLAB program for solving fractional-order reciprocal chaotic systems with numerical integration and visualization techniques
Several Classic Refactoring Algorithms
An overview of several classic refactoring algorithms, highly beneficial for beginners learning code optimization techniques with practical implementation insights
Principles of P-Code Generation in GPS
Simulation of P-Code Generation in MATLAB Based on GPS Principles
MATLAB Implementation of GPS Satellite Positioning
This MATLAB program demonstrates GPS satellite positioning with comprehensive English documentation. Simply launch the int.m main file and click Run to execute the positioning algorithm.
Classic MUSIC Algorithm Implementation and Analysis
Classic MUSIC algorithm program with simulation graphics output, complete with source code for calculating root mean square error (RMSE) of the algorithm
Single Target Tracking Based on Current Statistical Model for Maneuvering Targets
Implementation of single target tracking using a current statistical model for maneuvering targets with Kalman filtering approach, including state prediction and measurement update cycles
PCA-Based Remote Sensing Image Fusion
MATLAB implementation of PCA-based remote sensing image fusion algorithm, fully compatible with MATLAB 2011b, featuring multi-band image integration and enhanced visualization capabilities.
Optimal Sensor Placement for Structural Health Monitoring
Optimization of sensor placement strategies for structural health monitoring applications, suitable for research purposes with code implementation examples for genetic algorithms and modal analysis techniques.
Solving Constrained Optimization Problems Using the Lagrange Multiplier Method
Practical implementation example demonstrating the use of Lagrange Multiplier Method to solve constrained optimization problems with code-based explanations.
Simple Real Fourier Series Approximation
Simple Real Fourier Series Approximation for Periodic Signal Analysis
Strapdown Inertial Navigation System Using Quaternion Method for Navigation Attitude Calculation
Strapdown inertial navigation system implementing quaternion-based attitude calculation algorithm with comprehensive code annotations
Second Implementation Method of RRT Algorithm with Three-Dimensional Stereo Effect
The second implementation approach for RRT algorithm with 3D stereo visualization, particularly suitable for aerial robotics applications
Compressive Sensing Reconstruction Program Using the CoSAMP Method
This program demonstrates the compressive sensing reconstruction process utilizing the CoSAMP (Compressive Sampling Matching Pursuit) algorithm with code implementation details
Interactive Multiple Model Algorithm for Maneuvering Target Tracking
Complete implementation of Interactive Multiple Model algorithm for maneuvering target tracking with robust code architecture and verified performance
Image Compression Algorithm Using Compressive Sensing with Orthogonalized Gaussian Measurement Matrix Based on OMP Reconstruction
Image Compression Algorithm Utilizing Orthogonalized Gaussian Measurement Matrix in Compressive Sensing Framework with OMP Reconstruction Technique
Projection Algorithm
Custom-developed program implementing projection-based methods for statistical analysis of innovation sequences, featuring maximum error tracking across a series of data points with error correction capabilities.
Common CS Reconstruction Algorithms Including OMP
Key CS reconstruction algorithms include OMP, SOMP, ROMP, SAMP, CoSaMP, GPSR, along with wavelet transforms, DCT transforms, and other signal processing techniques.