Explore MATLAB source code curated for "论文" with clean implementations, documentation, and examples.
Comprehensive solution for the two-dimensional wave equation including academic paper guidelines, mathematical foundation derivation, and executable program source code with numerical implementation details
A comprehensive paper on resource allocation methodologies accompanied by simulation programs, designed to assist researchers and practitioners in implementing effective resource distribution strategies with practical code examples.
LMI-based output feedback H-infinity control and simulation package includes research paper and MATLAB implementation code (1.m file, 798 bytes, created 2011-11-29), featuring comprehensive design methodology and validation results.
Custom-developed Teager Energy Operator program accompanied by a comprehensive research paper. This resource provides practical signal processing implementations, algorithm explanations, and best practices for effective utilization in technical applications.
Implementation of time-frequency analysis using the ambiguity function method - a robust program originally developed for academic research and paper writing purposes.
PDF documentation on TS-Fuzzy Model fuzzy systems along with complete MATLAB source code, providing valuable learning resources with practical implementation examples.
This resource includes a comprehensive research paper on subspace identification methods paired with practical program code, providing significant value for learning and implementing subspace identification algorithms
A self-implemented approach for computing homography matrices, developed based on Zhang Zhengyou's seminal paper. Includes practical code implementation details and algorithm explanations.
This implementation provides a functional Gray-Level Co-occurrence Matrix (GLCM) with feature parameter calculation, developed for academic research purposes. The code generates GLCM and computes multiple texture features including: f1 (Angular Second Moment), f2 (Contrast), f3 (Correlation), f5 (Inverse Difference Moment), f6 (Sum Average), f7 (Sum Variance), f9 (Difference Average), and f10 (Difference Variance). Though not perfect, it has been successfully validated in practical applications.
Dimensionality reduction method using Kernel Locality Preserving Projections (LPP), implemented with reference to Xiaofei He's seminal paper, featuring enhanced code implementation details.