Explore MATLAB source code curated for "论文" with clean implementations, documentation, and examples.
This resource covers multi-user resource allocation algorithms for OFDMA systems, accompanied by comprehensive MATLAB implementation code, making it an excellent introductory textbook for beginners in wireless communication systems.
This document contains a research paper on fast learning algorithms for BP wavelet neural networks, along with two wavelet algorithm implementations developed using MATLAB, including simulation results and performance analysis.
Simulink simulation source code and research paper for inverted pendulum system, including comprehensive documentation with performance result screenshots, algorithm implementation details, and control method analysis
Comprehensive image fusion programs including research implementations with detailed code descriptions covering pixel-level fusion, wavelet transforms, and deep learning methods for advanced image processing applications.
MATLAB implementation of convolutional codes with program code, BER (Bit Error Rate) plots, and comprehensive performance analysis. This project demonstrates convolutional code simulation techniques and evaluates code performance characteristics through MATLAB-based implementations.
A curated collection of research papers on image segmentation that serve as foundational learning materials, with implementation insights on core algorithms and practical applications.
Comprehensive thesis and implementation code for texture image segmentation - valuable resource for graduation projects featuring complete algorithmic approaches and practical code examples.
Source code from the 2007 ICIP International Conference paper for implementing image deconvolution restoration, featuring blind deconvolution algorithms and PSF estimation techniques.
Implementation of frequency hopping communication simulation in MATLAB with comprehensive paper documentation and Gold code sequence generation algorithms
MATLAB algorithm workflow: Input image processing, grayscale conversion, image enhancement, edge detection, erosion operation, closing operation [dilation followed by erosion], small-area noise removal, obtaining located Chinese character regions, character segmentation using connected component analysis [similar to license plate recognition principle], and template matching recognition.