MATLAB Implementation of Logistic Regression Statistical Algorithm

This project demonstrates the MATLAB implementation of logistic regression statistical algorithm, covering model building, output variable prediction, and prediction error analysis. The dataset from UCI's Ionosphere database contains 351 statistical instances with binary output variables indicating the quality of ionospheric radar returns. The implementation utilizes 32 feature values and includes preprocessed data for direct implementation. Key code components involve sigmoid function implementation, gradient descent optimization, and model evaluation metrics calculation.

Statistical Algorithm-Based Infrared Image Non-Uniformity Correction

Scene-based infrared image non-uniformity correction using statistical algorithms, enabling real-time calibration implementation through histogram analysis and adaptive filtering