Background Subtraction using Video Frame Difference Algorithm Implementation
Background subtraction implementation using video frame difference algorithm with MATLAB code and detailed technical explanations.
Explore MATLAB source code curated for "matlab代码" with clean implementations, documentation, and examples.
Background subtraction implementation using video frame difference algorithm with MATLAB code and detailed technical explanations.
HHT program code implementation featuring wavelet transform, comparative analysis of component power spectral density plots, and optimization techniques for wavelet selection
PSO-optimized BP neural networks demonstrate high practicality and superior predictive capabilities through weight and bias optimization
MATLAB implementation of Fattal's single image dehazing method utilizing Independent Component Analysis (ICA) with local patch-based assumption of uncorrelated surface shading and atmospheric transmission functions - effective for certain images but limited for others
Comprehensive MATLAB program for Extended Kalman Filter implementation, featuring detailed algorithm explanation and practical code structure
Implementation of the Kalman filter algorithm for tracking and estimating object motion trajectories using MATLAB routines and simulation techniques. The solution includes state prediction, measurement updates, and covariance matrix handling for optimal trajectory estimation.
Image Segmentation Using Conditional Random Fields (CRF) with MATLAB Code Implementation - Complete source code provided, requires external dataset download for execution
These MATLAB programs demonstrate MIMO channel implementations, providing practical reference for multi-antenna wireless communication systems. The code includes channel modeling techniques, spatial diversity utilization, and performance analysis methods that are essential for developing multi-input multi-output communication systems.
MATLAB implementation of Support Vector Machines featuring both linear and nonlinear algorithms, complete with comprehensive documentation files explaining usage and underlying methodologies.
MATLAB implementation of subpixel edge detection algorithm providing higher precision compared to conventional edge detection methods, featuring advanced interpolation techniques and gradient-based approaches for enhanced accuracy.