Explore MATLAB source code curated for "经典" with clean implementations, documentation, and examples.
This document contains all programs and practical application examples of Kalman adaptive filtering, serving as classic MATLAB implementations for learning Kalman filtering algorithms with detailed code explanations and implementation approaches.
Classic MATLAB source code for wavelet neural network implementation, perfect for collaborative learning and understanding wavelet-based neural architectures.
A classic image denoising algorithm utilizing Wavelet-Domain Hidden Markov Tree (HMT) models, developed by CHOI at Rice University. This implementation offers valuable insights for researchers studying HMT models, featuring detailed algorithm workflows, statistical modeling approaches, and performance evaluation metrics through experimental comparisons.
This is a classic and detailed license plate recognition resource package containing technical reports, implementation programs, with both simplified and complete versions available to accommodate different user needs.
A classical MATLAB implementation of an adaptive equalizer using the LMS algorithm, suitable for beginners to learn digital communication system design with practical code examples and adjustable parameters.
This is a classic MATLAB-based toolkit highly suitable for image matching applications, particularly useful for 3D reconstruction projects.
Decision Tree - A Highly Classical Machine Learning Algorithm Implementation with MATLAB Code Examples
A classical wavelet packet decomposition program designed for singularity detection, accompanied by illustrative diagrams and implementation details.
This repository contains a classic MATLAB source code implementation of Fractional Fourier Transform (FRFT), serving as an excellent educational program for understanding FRFT algorithms and their MATLAB coding techniques.
LLC's image classification algorithm represents a classic approach in computer vision. It follows the Bag-of-Features model framework and utilizes SIFT (Scale-Invariant Feature Transform) descriptors for robust feature extraction, demonstrating high effectiveness in image categorization tasks.