Explore MATLAB source code curated for "matlab编程" with clean implementations, documentation, and examples.
MATLAB programming for Wiener filter implementation in digital signal experiments, featuring AR model parameter estimation and excellent filtering performance using modern signal processing techniques.
MATLAB Programming for RBF Neural Network Prediction Solutions with Algorithm Implementation Details
Source code implementation of an immune algorithm utilizing immune network model architecture, programmed in MATLAB for reference and research purposes
Cubic spline interpolation MATLAB programming that directly generates visual plots and outputs spline functions with detailed implementation code
Particle filters utilize Monte Carlo simulation to achieve recursive Bayesian filtering, eliminating the need for linearity or Gaussian noise assumptions. This makes them suitable for any nonlinear system representable by state-space models, offering broader applicability than Kalman filters. The provided MATLAB examples demonstrate practical implementations including target tracking, parameter identification, and robotic SLAM applications with detailed code structure explanations.
Implementation of Gabor wavelets for face recognition using MATLAB programming, featuring comprehensive algorithm explanations and ready-to-use code examples suitable for graduation projects and academic research
MATLAB programming for generating power quality signals including voltage sags, swells, interruptions, transient pulses, and transient oscillations with implementation code descriptions
Multiple Linear Regression Model combined with Principal Component Analysis principles, expertly implemented using MATLAB programming with comprehensive code demonstrations!
A comprehensive example and summary of multi-objective optimization with detailed code implementation guidance, providing practical assistance for beginners learning MATLAB programming.
This is my MATLAB implementation of an adaptive histogram equalization algorithm designed to enhance image details, combining the advantages of detail-enhancing adaptive histograms and traditional histogram equalization techniques. The program includes comprehensive algorithm explanation and demonstrates practical implementation using MATLAB's image processing toolbox functions like adapthisteq() with customized parameter settings for optimal contrast enhancement.