Explore MATLAB source code curated for "文件" with clean implementations, documentation, and examples.
This repository contains a complete TDOA (Time Difference of Arrival) algorithm implementation with 7 source files, including core signal processing functions and localization algorithms that require detailed analysis to understand their specific purposes and functionality.
The source code for 3D reconstruction in machine vision consists of 4 key files, where the .c file is specifically designed for generating image feature point matrices using pixel processing algorithms.
A comprehensive collection of 57 SystemView simulation files covering all chapters of communication principles, featuring complete implementation of modulation/demodulation, channel coding, and multiple access techniques.
This Gabor filter demonstration package includes three main files: gaborfilter.m (core filter implementation), gabordemo.m (interactive demonstration script), and a sample image for testing the filter effects.
Comprehensive documentation on RBF neural networks for system identification, featuring practical code examples and implementation techniques
A comprehensive guide to creating sine.dat files for DSP5509 with MATLAB, including detailed implementation methods and M-files. Learn to generate custom functions by modifying parameters, with proper consideration of DSP standards and data formatting requirements that are often overlooked in existing online solutions.
Gabor Wavelet Transform for facial expression recognition, generating features across 5 scales and 8 directions. This implementation references the paper "Gabor feature classification using enhanced FLD model facial recognition" and involves convolutional operations with Gabor filter banks for optimized feature discrimination.
This MATLAB-developed adaptive filter file serves as an excellent reference for students studying modern signal processing!
The file "duoziyoudu.m" is a standalone executable script that simulates impulse response analysis for a 3-degree-of-freedom system. The files "control.m", "plotresult.m", and "duoziyoudu.mdl" form an integrated simulation workflow: first execute "control.m" to initialize parameters, then run the Simulink model "duoziyoudu.mdl" for dynamic simulation using Kobe earthquake wave data, and finally use "plotresult.m" to visualize the response results with customized plotting functions.
MATLAB simulation framework for Cooperative MIMO relaying systems with comprehensive channel modeling and performance analysis capabilities