Wavelet Transform-Based Image Denoising
MATLAB source code for image denoising using wavelet transform, including complete implementation with source files and execution results demonstrating noise reduction performance
Explore MATLAB source code curated for "运行结果" with clean implementations, documentation, and examples.
MATLAB source code for image denoising using wavelet transform, including complete implementation with source files and execution results demonstrating noise reduction performance
A MATLAB program implementing the recursive least squares algorithm for system identification, complete with execution results and graphical visualizations.
A custom MATLAB simulation program for BCH codes featuring encoding and decoding main programs with corresponding execution results and algorithm explanations.
Three well-performing RLS (Recursive Least Squares) algorithms with implementation insights, provided for reference and practical usage in signal processing and machine learning applications.
Implementation of the Projection onto Convex Sets (POCS) algorithm for super-resolution image restoration with verified correct operational results and performance validation.
Application of MATLAB in System Identification - Featuring source code implementation of the co-prime residue method with execution results including graphical outputs
This resource demonstrates MATLAB's application in system identification, featuring complete source code for M-sequence generation along with execution results including graphical outputs and algorithm analysis.
A neural network-based license plate recognition system with excellent performance, fully validated and guaranteed to produce operational results
An illustrative implementation of K-means clustering with accompanying .dat dataset, complete MATLAB code, and execution results for collaborative discussion
This article compares multiple wavelet threshold function denoising programs and their performance results, including algorithm principles, implementation details, and code examples.