Explore MATLAB source code curated for "帮助" with clean implementations, documentation, and examples.
Complete source code for Hilbert-Huang Transform featuring step-by-step explanations, ideal for beginners. Includes algorithm breakdowns and key function descriptions to facilitate learning and practical implementation.
Implementation of adaptive image denoising through mathematical morphology operations, providing noise removal while preserving image details. This approach utilizes structuring elements and morphological filters to achieve intelligent denoising.
Recently discovered a well-implemented robust strong tracking filter source code that provides adaptive covariance tuning and improved tracking performance for dynamic systems
Simulink simulation of a fifth-order CIC filter with comprehensive implementation details, providing practical guidance for digital signal processing applications.
A high-quality implementation of the CANNY edge detection algorithm developed by international programmers, featuring excellent code structure and comprehensive documentation that provides significant learning value for programming beginners in computer vision.
Implementation of automated image stitching and matching - a graduation project work that will certainly provide valuable insights for your development!
This MATLAB-based 3D video compression encoding algorithm implementation offers efficient video processing with optimized storage and bandwidth utilization, featuring comprehensive code documentation for easy adaptation.
MATLAB simulation of multipath channels with practical implementation insights and code examples to assist communication system designers
This is a custom-developed license plate recognition program specifically designed for Chinese blue-background license plates, featuring robust detection accuracy and practical implementation with computer vision techniques.
Program for generating bifurcation diagrams of 3D chaotic systems, useful for adjusting and analyzing chaotic bifurcation patterns with code implementation details