Explore MATLAB source code curated for "初始化" with clean implementations, documentation, and examples.
A cellular automaton implementation featuring cell growth-based initialization and grain growth calculation, designed as an introductory-level program with clear code structure and algorithm explanations
Implementation code for Hidden Semi-Markov Model (HSMM) featuring three comprehensive documents: Initialization Setup, Forward-Backward Algorithm with detailed parameter explanations
UWB simulation package developed with Simulink, featuring uwb.mdl: Main UWB model - launch this file to start simulation; uwb_lib.mdl: Component library containing reusable UWB blocks; uwb_init.m: Pre-load initialization script; uwb_settings: Configuration file defining system parameters (creates uwb structure in workspace); uwb_imr.m: Channel impulse response initialization module
This MATLAB implementation of the MeanShift algorithm includes a test image dataset and extensively commented code that demonstrates the complete workflow: initialization, weight calculation, Bhattacharyya distance computation, and real-time target position updating, making it an excellent educational resource for understanding MeanShift tracking.
This implementation demonstrates L1-norm-based total variation super-resolution reconstruction, featuring key stages including raw data initialization, image registration, spline interpolation upscaling, and the core reconstruction algorithm. Ideal for learners exploring super-resolution techniques, the code provides practical insights into handling image sequences and enhancing resolution through variational methods with detailed algorithm workflow.
Binary Particle Swarm Optimization (PSO) algorithm implementation with main program: swarmpso.m. Contains modular subroutines for swarm initialization, fitness evaluation, and particle position updates in discrete binary space.