Explore MATLAB source code curated for "研究" with clean implementations, documentation, and examples.
This study employs the Finite-Difference Time-Domain (FDTD) method to simulate light wave propagation in 1D photonic crystals, calculating electromagnetic field distributions and transmission spectra through iterative Maxwell's equations solving with Yee's grid algorithm, including dispersion relations and group velocity analysis.
A high-quality MATLAB simulation model for multilevel inverter research, featuring detailed implementation of power electronics control algorithms and performance analysis capabilities.
Implementation of niche particle swarm optimization algorithms with 20 supporting research papers covering theoretical studies and practical applications of niche PSO techniques
Research on Vehicle Routing Problem Using Hybrid Optimization Algorithms in MATLAB Development Environment
A practical ellipse fitting program based on direct least squares method, suitable for image processing applications and ideal for beginners in ellipse fitting research. The implementation efficiently solves the general conic equation using algebraic distance minimization with eigenvalue decomposition, featuring constraints to ensure elliptical solutions.
Application Context Compressive sensing represents a highly valuable source code implementation with significant practical applications in signal processing, image reconstruction, and communication systems. This program provides comparative analysis of multiple algorithms, making it particularly valuable for researchers beginning their exploration of compressive sensing. The implementation demonstrates practical utility while maintaining research-oriented flexibility for algorithm modification and performance evaluation. Key Technologies The codebase implements and compares various compressive sensing algorithms including greedy approaches (OMP, CoSaMP), convex optimization methods (l1-minimization), and iterative thresholding techniques. Each algorithm is implemented with clear parameter configurations and performance metrics to facilitate understanding of trade-offs between reconstruction accuracy and computational complexity.
MATLAB implementation of fuzzy K-means clustering algorithm with detailed code structure and function explanations, ideal for research and educational purposes
Three decision tree algorithm implementations (C4.5, ID3, CART_iris) collected from online sources for collaborative learning and research purposes.
An upgraded version of Wu Yufei's Turbo code research program that integrates core Turbo code algorithms with advanced computational approaches, providing an efficient simulation environment for rapid learning and performance analysis
Implementation of target tracking using the nearest neighbor data association algorithm with practical code examples and technical insights for researchers in the tracking domain