Mallat Wavelet Fast Algorithm Implementation
Detailed implementation of Mallat wavelet fast algorithm with fully modularized functions for easy integration and calling.
Explore MATLAB source code curated for "详细" with clean implementations, documentation, and examples.
Detailed implementation of Mallat wavelet fast algorithm with fully modularized functions for easy integration and calling.
This adaptive median filter program is an improved version based on the original source code from MathWorks website, featuring detailed optimizations and ready-to-use functionality with comprehensive code documentation.
This MATLAB-based Gaussian pyramid algorithm implementation provides exceptionally detailed step-by-step code development, differing from conventional approaches by offering comprehensive procedural breakdown and implementation insights.
DC-DC converter modeling using Simulink, featuring fundamental step-by-step modeling procedures including open-loop and closed-loop implementations. The modeling approach covers buck, boost, and buck-boost converters, along with transient analysis to evaluate system dynamic performance.
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.
Comprehensive code implementation of FM modulation and demodulation processes, including detailed differential and integral operations. Well-commented source code with clear explanations of mathematical operations and signal processing techniques.
Detailed Laplacian Pyramid Model primarily focuses on constructing Laplacian pyramids through scale transformations, with code implementation insights for Gaussian blurring, image subtraction, and multi-resolution decomposition.
Contour fitting source code (MATLAB implementation) developed by an international programmer, demonstrating exceptional coding proficiency with comprehensive inline documentation.
A comprehensive MATLAB implementation of level set methods featuring detailed algorithm implementation, classical approach demonstration, and 3D image processing capabilities