Explore MATLAB source code curated for "源代码" with clean implementations, documentation, and examples.
Error Correction Coding Principles and MATLAB Implementation - Complete source code, fully validated and highly practical. Includes simulations utilizing MATLAB toolbox functions for encoding/decoding, as well as custom function implementations for codec simulation. Available for direct download and implementation.
MATLAB platform source code for ICA Independent Component Analysis. Usage: [icasig, W] = Fasticadef(x) Input: x (source data matrix) Output: icasig (independent components), W (separation matrix). This implementation likely employs FastICA algorithm for efficient blind source separation.
This resource provides the complete source code for a weighted differential evolution algorithm, demonstrating its application across various optimization problems with detailed implementation insights.
Kalman filter source code primarily designed for target prediction in motion tracking applications, currently available in MATLAB with detailed implementation notes
Source code for Backpropagation Neural Network implemented using MATLAB .M files, featuring detailed algorithm implementation with network initialization, forward propagation, error calculation, and weight updates through gradient descent.
MATLAB source code for estimating Gaussian Mixture Model (GMM) parameters using Expectation-Maximization algorithm, suitable for solving various machine learning problems including clustering, classification, and anomaly detection
This is the source code for automated facial expression recognition. The implementation leverages Viola and Jones' face detection algorithm combined with Gabor filter-based facial landmark extraction, followed by classification using a pre-trained neural network for accurate expression identification.
Source code implementation of differential evolution algorithm for power system optimization, featuring a case study with 40-particle large-scale computational problem
l1_ls represents one of the state-of-the-art algorithms for solving sparse matrix equations, featuring the latest MATLAB source code released by its author. This implementation utilizes interior-point methods to efficiently handle L1-regularized least squares problems with advanced optimization techniques.
MATLAB source code for multi-objective optimization algorithms, provided for reference and educational purposes. Includes code implementation details and algorithm explanations.