PDE-Based Image Processing Development Kit

A doctoral-researcher developed toolkit for PDE-based image processing. Highly practical and beneficial for professionals working with partial differential equations in image analysis. Includes implementations of key algorithms like Perona-Malik diffusion and variational methods.

SIFT-Based Image Matching Code Developed by UC PhD Researcher

Source code for SIFT-based image matching developed by a University of California PhD candidate, implementing hybrid programming using MATLAB and VC++ with robust feature extraction algorithms

Classical V-BLAST Implementation in MIMO Systems

Classical V-BLAST code for MIMO systems, originally developed by a PhD researcher, serves as reliable programming reference material. The code has been validated through execution and confirmed to be error-free, providing valuable insights into MIMO system implementation with proper algorithmic structure and function design.