Classic Algorithm - Range Doppler Algorithm
Range Doppler Algorithm implemented in MATLAB with broad practical applications in signal processing systems
Explore MATLAB source code curated for "经典算法" with clean implementations, documentation, and examples.
Range Doppler Algorithm implemented in MATLAB with broad practical applications in signal processing systems
MATLAB simulations of three classic synthetic aperture radar (SAR) imaging algorithms: Range Doppler (RD) Algorithm, Chirp Scaling Algorithm, and wK Algorithm. All implementations are correct with clear annotations and appropriate code descriptions.
MATLAB implementation of the Horn and Schunck algorithm, a classical method for optical flow (motion estimation). This program demonstrates the core computational approach using gradient-based constraints and global smoothness regularization for dense flow field calculation.
This program implements the classical region growing algorithm with comprehensive code annotations for better understanding
A manifold learning algorithm for nonlinear dimensionality reduction, originally published in Science magazine in 2000, with enhanced code implementation details and algorithm explanation
This implementation provides a complete realization of the classical Orthogonal Matching Pursuit (OMP) algorithm for signal sparse decomposition, featuring optimized computational efficiency and parallel processing capabilities.
Comprehensive overview of array signal processing techniques featuring classic algorithms including MUSIC, ESPRIT, and other valuable methods with code implementation insights
Simulated Annealing Algorithm Implementation - Practical MATLAB Code Suitable for Users with Basic MATLAB Foundation
A MATLAB implementation of the classic Iterative Closest Point (ICP) algorithm for rigid 3D point cloud registration with code optimization details
Implementation of Bayesian Matting - the most classic and fundamental matting algorithm in MATLAB, demonstrating excellent performance in both output quality and computational efficiency with robust probabilistic frameworks and optimized matrix operations.