Geophysical Inversion Software Package
A comprehensive software package for geophysical inversion, focusing on regularization procedures, including MATLAB implementation code and accompanying textbooks
Stanford University's Primal-Dual Interior Point Method Software Package
Stanford University's Primal-Dual Interior Point Method Software Package - An Authoritative Implementation for Linear Programming!
USCD_GARCH: A Practical Econometric Time Series Analysis Package
An advanced econometric time series analysis package featuring USCD_GARCH - the current optimal version for modeling non-stationary time series data with comprehensive analytical capabilities.
Regularization Parameter Determination and Regularized Solution Methods for Inverse Problem Computation
This toolkit provides comprehensive methods for inverse problem computation, including regularization parameter selection and regularized solution techniques. It implements efficient algorithms for stable numerical solutions and offers robust error control mechanisms.
Iris Recognition Research Package for Non-Ideal Iris Conditions
This package contains research code accompanying a paper on non-ideal iris recognition systems, including systematic study tools and a small sample image collection (20 users). The implementation features batch processing capabilities for iris image analysis and supports angle-variant iris capture scenarios (0°, 15°, 30° frontal views). Researchers needing full access to West Virginia University's non-ideal iris database should contact the specified researchers for complete dataset acquisition.
FastICA Fixed-Point Algorithm Package
FastICA fixed-point algorithm package including raw image data and corresponding MATLAB implementation, serving as a valuable learning resource for independent component analysis (ICA) researchers.
MATLAB Background Removal for Signal Processing
Remove background from signals in MATLAB using advanced morphological operations to enhance foreground detection accuracy. This package includes three implementation files (.M) with complete algorithms and one sample image for demonstration.
Machine Learning Algorithms Software Package
A comprehensive machine learning algorithm package featuring neural networks, fuzzy logic, and support vector machines, implemented on the MATLAB platform with structured code organization and modular function design.
Image Reconstruction Based on the Total Variation Model
A comprehensive software package for Total Variation-based image reconstruction, featuring implementations for denoising, inpainting, and deblurring operations. The package employs first-order optimization algorithms and incorporates regularization techniques to preserve edges while removing noise and artifacts. Reference: J. Dahl, P. C. Hansen, S. H. Jensen, and T. L. Jensen, "Algorithms and Software for Total Variation Image Reconstruction via First-Order Methods," Numerical Algorithms, vol. 53, 2010, pp. 67-92.
Various Filtering Algorithms for Ultrasound Images
This software package contains MATLAB implementations of various filtering algorithms specifically designed for ultrasound image processing.