MATLAB Implementation of Geophysical Inversion Algorithms
Compiled geophysical inversion programs built with MATLAB, featuring robust algorithms applicable across multiple industries including earth sciences, astronomy, and meteorological studies.
Explore MATLAB source code curated for "编译" with clean implementations, documentation, and examples.
Compiled geophysical inversion programs built with MATLAB, featuring robust algorithms applicable across multiple industries including earth sciences, astronomy, and meteorological studies.
Fuzzy rule generation algorithm compiled in MATLAB environment - originally developed by an educator with enhanced code implementation details
Improved region-based image segmentation algorithm particularly suitable for noisy images! Successfully compiled and tested in MATLAB 6.5 environment
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.
The latest MATLAB interface for libsvm supports compilation on 64-bit operating systems, overcoming the 4GB memory process limitation for handling large-scale datasets through optimized memory management and parallel computing capabilities.
Self-developed MATLAB implementation for wavelet moment feature extraction with detailed algorithmic explanations and code structure
MATLAB compiled wavelet transform implementation for image fusion and processing, converting folder images into usable fused images with detailed algorithm explanations
This upload contains Vedaldi's MATLAB implementation of D.G. Lowe's SIFT algorithm. Although similar source code exists online, this attached code has been specifically compiled, tested, and verified to run directly without modifications. A critical bug in sift.m has been identified and fixed (with notification sent to Mr. Vedaldi), ensuring reliable feature extraction performance.
A comprehensive MATLAB implementation of the dual-threshold endpoint detection algorithm, successfully compiled and documented in Word format, featuring enhanced code explanations and algorithmic insights.
This is a MATLAB source code implementation for image enhancement utilizing digital dyadic wavelet transforms, ready for compilation and execution.