Explore MATLAB source code curated for "程序" with clean implementations, documentation, and examples.
An implementation example of Auxiliary Particle Filter based on Gordon's Tutorial on Particle Filters. This program implements the auxiliary particle filter algorithm from the tutorial, achieving RMS results closely matching those reported in the original paper. The implementation includes proper weight calculation and resampling procedures.
A MATLAB implementation for solving optimization problems using quasi-Newton algorithms, featuring core functions like BFGS or DFP updates and gradient calculations. Users should verify the implementation before application and consider exploring alternative algorithms for comparison.
Full implementation of particle filter algorithm featuring advanced programming techniques for state estimation, target tracking, localization, and motion planning applications
Comprehensive MATLAB implementation for 2DPSK signal generation and modulation, including executable code with detailed comments for practical application and performance analysis.
A self-developed Kalman filter program for tracking objects moving with uniform linear motion, featuring optimized performance through parallel processing and matrix operations.
This resource serves as foundational material for learning Kalman filtering, containing program implementations and documentation suitable for beginners in signal processing and state estimation.
Self-developed SVD-based denoising program that simultaneously removes noise and separates signal components of different frequencies, featuring frequency-domain signal decomposition capabilities.
Complete SINS/GPS integrated navigation package including MATLAB code implementations, required sensor datasets, post-processing analysis plots, and comprehensive documentation. Ready-to-use solution for navigation system developers.
This program implements a basic moving object recognition system and serves as the main program file.
A MATLAB-based Snake algorithm implementation designed for image segmentation and edge detection applications, featuring customizable energy minimization functions and active contour modeling.