Explore MATLAB source code curated for "算法" with clean implementations, documentation, and examples.
The Hough line detection algorithm provides a straightforward and efficient approach for identifying straight lines in static images, featuring optimized parameter configuration and practical implementation techniques.
MATLAB source code for PCA principal component analysis algorithm, implementing PCA using MATLAB with detailed code explanations and practical applications.
Implementation of a local extremum audio watermarking algorithm using MATLAB, featuring watermark embedding and extraction operations, along with common audio watermarking attack methods and their simulations.
This MATLAB implementation performs GPS positioning for highly maneuverable vehicles, enabling real-time tracking with satellite count and ID display. The algorithm follows PDF documentation specifications and incorporates fuzzy satellite selection methods. The code calculates and displays GDOP values for different satellite selection approaches along with computation time metrics.
Efficient implementation for system identification using Recursive Least Squares (RLS) estimation. This algorithm is crucial for determining model order and parameter values. The program implements RLS to compute model order estimates and relevant parameter values with adaptive weight updates.
Latest level set algorithm based on local energy function with significant improvements in accuracy and computational efficiency, featuring optimized MATLAB implementation approaches.
A MATLAB implementation for spatial temperature field calculation using the Gauss-Seidel iterative method algorithm.
Target tracking represents one of the principal application domains for Kalman filtering. Through this assignment or exploration, you will deepen your understanding of the Kalman filter algorithm, grasp its fundamental characteristics, and master the essential steps and methods for applying and researching the Kalman filter algorithm in practical scenarios. Key considerations include system modeling, state prediction employing transition matrices, measurement update steps leveraging observation matrices, and real-time recursive computation for optimal state estimation.
MATLAB implementation of GPS/INS integrated navigation system featuring tightly coupled algorithm design, validated through simulation with demonstrated effectiveness.
Comprehensive MATLAB implementations for essential graph theory algorithms: Warshall-Floyd algorithm for shortest paths in weighted graphs, Kruskal's algorithm for minimum spanning trees, Hungarian algorithm for bipartite graph matching, feasible labeling method for optimal matching, and Ford-Fulkerson labeling algorithm for maximum flow computation. Complete with detailed code explanations and implementation approaches.