Explore MATLAB source code curated for "解法" with clean implementations, documentation, and examples.
An efficient numerical implementation of the 4th-order Runge-Kutta method for solving ODEs, featuring code structure explanation and practical application guidance for differential equation problems.
Implementation of linear equation solutions for moving target detection, addressing background suppression and noise reduction in visible light image weak target detection using Singular Value Decomposition (SVD) algorithm with MATLAB code demonstrations
The Runge-Kutta method for stochastic resonance provides response signals for arbitrary stochastic resonance systems, enabling comprehensive system analysis through numerical simulation of dynamic behaviors.
Y.T. Chan's paper presents a non-recursive hyperbolic equation system solution featuring analytical expression-based resolution. This algorithm offers computational efficiency with minimal calculations and rapid processing speed. When TDOA parameter estimation errors follow a Gaussian distribution, it achieves high positioning accuracy. This MATLAB implementation adapts Chan's proposed algorithm to estimate signal source locations using known TDOA estimation parameters. The program provides valuable assistance for researchers working on interference source localization and passive positioning systems, featuring optimized matrix operations and error handling mechanisms.
A MATLAB-based graphical user interface (GUI) for creating and solving Sudoku puzzles, featuring built-in solving algorithms and hint mechanisms. This implementation serves as an excellent educational resource for learning MATLAB GUI development techniques, demonstrating practical approaches to interactive puzzle solving through matrix manipulation and backtracking algorithms.
Several classical solution methods for Bessel functions, including code implementation examples and algorithm descriptions - available for download upon request
Implementation of algebraic differential equation solvers using MATLAB with numerical and symbolic computation approaches.