Explore MATLAB source code curated for "改进" with clean implementations, documentation, and examples.
A new algorithm designed for super-resolution image processing, which incorporates significant improvements based on existing methodologies and demonstrates high applicability for various image processing tasks. The implementation includes advanced interpolation techniques and deep learning-based upscaling methods to enhance image quality.
This document presents an improved Direction of Arrival (DOA) estimation algorithm derived from the MUSIC framework, offering superior computational efficiency compared to conventional implementations. The resource includes downloadable code samples with detailed implementation insights, encouraging technical discussions regarding algorithmic enhancements and performance optimizations.
Fractal Image Compression: High-quality results with extended runtime requiring algorithmic and computational optimizations for practical implementation.
An improved Criminisi image inpainting algorithm that utilizes the P-Laplace operator for priority calculation and includes PSNR computation functionality for quality assessment
LEACHC: An Improved Centralized Clustering Algorithm Based on LEACH for WSNs
An improved level set segmentation approach incorporating spatial fuzzy clustering, demonstrating superior segmentation performance with robust algorithm implementation
Implementation of ICP algorithm in MATLAB with detailed improvements addressing its limitations, featuring comprehensive code demonstrations and performance analysis
The three-dimensional point set registration problem is a crucial challenge in computer technology. As a widely adopted algorithm for addressing this issue, the Iterative Closest Point (ICP) algorithm has garnered significant attention from researchers. This paper presents a novel approach to categorizing and summarizing various improvements and optimizations of the ICP algorithm for 3D point set registration, focusing on three key aspects: selection of registration elements, determination of registration strategies, and solution of error functions, with relevant algorithm implementations and key function descriptions.
Simulation of LDPC codes in MATLAB environment with suggestions for further improvements and implementation details.
Neural network improved using ant colony optimization algorithm. ANT_object_func_ant is a neural network objective function generation program that computes fitness values. ANT_ant_new is the main program implementing the complete optimization framework with ant colony-inspired parameter tuning.