Explore MATLAB source code curated for "源码" with clean implementations, documentation, and examples.
A comprehensive MATLAB source code package for Markov Random Field (MRF) image segmentation, containing over 30 functions. This example program demonstrates MRF implementation through practical image processing workflows, providing beginners with intuitive understanding of MRF concepts and their application in image analysis.
PCA algorithm MATLAB source code collaboratively developed with classmates - this implementation includes data standardization, covariance matrix computation, eigenvalue decomposition, and dimensionality reduction features for educational reference and technical discussion.
MATLAB implementation of standard genetic algorithm to find the minimum value of function f(x)=x²-22x+30 with x∈[0,31], including complete source code and optimization results
MATLAB implementation of Graphcut algorithm source code for image segmentation in image processing applications, featuring energy minimization optimization and graph-based partitioning techniques.
A comprehensive collection of particle filter implementations featuring various versions including PF (Standard Particle Filter), RPF (Regularized Particle Filter), EKFPF (Extended Kalman Filter Particle Filter), APF (Auxiliary Particle Filter), and more.
Implementation of FFT-based algorithm to compute the average period of time series data. This straightforward yet effective approach provides reliable results and serves as a valuable reference for signal processing applications.
Adaptive MIMO-OFDM MATLAB source code implementation for wireless communication systems
High-quality mean-shift moving object tracking source code with robust implementation - appreciate your support and contributions
Radar pulse compression simulation program featuring GUI development source code, one-dimensional range profile generation, matched filtering, and comparative illustrations of various windowing functions with MATLAB implementation examples
C4.5 Decision Tree Algorithm Source Code. C4.5 is a classic algorithm in the decision tree domain, with academic book citations exceeding 10,000 times. Implementation includes key components like information gain ratio calculation, tree pruning mechanisms, and support for handling both continuous and discrete attributes.