Otsu Algorithm - Maximum Between-Class Variance Method for Image Thresholding

MATLAB implementation of Otsu's algorithm (maximum between-class variance method), a threshold segmentation technique for digital image processing and computer vision applications.

Smith Chart and Impedance Matching Applications with Implementation Code

Smith chart and impedance matching applications with detailed MATLAB/Python code examples covering transmission line analysis, matching network design, and performance optimization algorithms.