Explore MATLAB source code curated for "应用" with clean implementations, documentation, and examples.
Application of 2D interpolation in image processing and data visualization. Key methods include nearest-neighbor interpolation, bilinear interpolation, and cubic spline interpolation. This source code demonstrates implementation differences and algorithmic characteristics, highlighting MATLAB's interp2 function usage for grid-based interpolation scenarios.
The application of Kalman filtering in INS/GPS integrated navigation systems proves highly effective, offering robust sensor fusion through recursive state estimation algorithms that combine inertial measurements with global positioning data.
Practical implementation of signal processing utilities using Simulink's FFT module with algorithm explanations and code integration approaches
This study presents a sub-pixel localization method for circular markers using Canny operator edge detection followed by sub-pixel detection via surface fitting. The approach enhances measurement precision through gradient-based edge extraction and curve approximation algorithms.
Enhance comprehension of the Kalman Filter algorithm by exploring its fundamental characteristics, implementation workflows, and practical applications with code-based examples. Learn the essential steps and methodologies for applying Kalman filtering to sensor data processing, image analysis, and other domains.
"MATLAB Image Filtering and Denoising Analysis with Applications" comprehensively studies various filtering techniques including bilinear filtering, Kirsch filtering, superluminal neighborhood filtering, inverse filtering, bilateral filtering, homomorphic filtering, wavelet filtering, six-tap filtering, constrained least squares filtering, nonlinear complex diffusion filtering, Lee filtering, Gabor filtering, Wiener filtering, Kuwahara filtering, Beltrami flow filtering, Lucy-Richardson filtering, and Non-Local Means filtering. Each method features implementation insights using MATLAB's Image Processing Toolbox functions like imfilter(), fspecial(), and wavelet denoising algorithms.
Implementation of particle swarm optimization for BP neural networks in boiler combustion optimization, featuring detailed code explanations, simulation diagrams, and algorithm workflow. The program uses function-based naming convention - simply rename the main file to match the internal function name and execute.
Application of RBF Neural Network in Transformer Fault Diagnosis - Complete MATLAB program with data preprocessing, network training, and fault classification modules for practical implementation.
Comprehensive MATLAB code analysis and practical implementation guide for the Fish School Optimization algorithm, including algorithmic principles and code examples
Source code for "MATLAB Genetic Algorithm Toolbox and Applications" with implementation examples