MATLAB Implementation of Lasso Algorithm with Stanford Source Code
Original Lasso algorithm source code developed by Stanford University, featuring robust implementation with coordinate descent optimization and cross-validation support
Explore MATLAB source code curated for "matlab代码" with clean implementations, documentation, and examples.
Original Lasso algorithm source code developed by Stanford University, featuring robust implementation with coordinate descent optimization and cross-validation support
Sparse coding program implementation - To run the SparseNet package, you need to first compile the conjugate gradient (CGF) routine to enable MATLAB interface calling for optimization procedures.
This MATLAB-based license plate localization algorithm employs row scanning methodology, delivering highly accurate positioning results with robust image preprocessing and edge detection capabilities.
Source code for backpropagation neural network implementation in MATLAB, featuring easy-to-use functionality with comprehensive training and prediction capabilities. This implementation includes key components like forward propagation, error calculation, and weight updates using gradient descent optimization.
Comprehensive collection of SIFT-PCA materials featuring MATLAB code implementations, including detailed algorithm explanations and practical applications for computer vision tasks
Verified Viterbi decoder MATLAB program with comprehensive documentation and supporting files for communication system applications
A comprehensive MATLAB program for direct sequence spread spectrum simulation, featuring signal generation, modulation, spreading, transmission, and demodulation with detailed code-level explanations
A MATLAB-based digital image processing program that analyzes chromosome images using edge detection, erosion, dilation, and morphological operations (opening and closing) to accurately count chromosome numbers. This implementation demonstrates computer vision techniques for biomedical image analysis.
Wavelet denoising using Haar and db4 wavelet bases with practical code examples
MATLAB Image Processing with Code Implementation - Includes image smoothing (mean and median filtering) and image sharpening (Laplacian, Roberts, Prewitt, and Sobel operators) with algorithm explanations and key function descriptions.