Image Restoration Using Markov Random Fields
Implementation of Markov Random Fields for Image Restoration, including MRF generation algorithms and applications in image denoising with code-level implementation details
Explore MATLAB source code curated for "程序" with clean implementations, documentation, and examples.
Implementation of Markov Random Fields for Image Restoration, including MRF generation algorithms and applications in image denoising with code-level implementation details
Custom-written program implementing the Unscented Transformation component for Unscented Kalman Filter (UKF) applications
A MATLAB program implementation for computing two-dimensional fractal dimension of images, featuring algorithm explanation and parameter optimization guidelines
Implementation of a 3D point cloud surface reconstruction program utilizing the Crust algorithm for generating smooth object surfaces from point cloud data
A custom-developed program for face recognition applications, featuring efficient implementation and additional functionalities.
Debugged wavelet transform modulus maxima detection code with operational functionality - includes multi-scale edge detection algorithm implementation and welcome community feedback for optimization
This comprehensive GPS receiver implementation features well-structured MATLAB code with excellent readability, detailed comments, and robust functionality. Originally developed by a US university, this implementation has been tested, debugged, and optimized for educational purposes, offering valuable insights into GPS signal processing algorithms and software-defined radio concepts.
A comprehensive toolbox for Least Squares Support Vector Machines, including executable SVM regression examples and detailed usage documentation with code implementation insights.
Sharing exemplary multi-user detection simulation programs with practical results and clear annotations, including implementation insights for code-based optimization.
This blind separation program implements an information maximization algorithm as the core framework, providing a primary implementation that can be modified and extended for custom applications.