"Random Signals: Detection, Estimation, and Data Fusion"

"Random Signals: Detection, Estimation, and Data Fusion" explores how to identify, analyze, and combine uncertain, unpredictable data from various sources. It focuses on techniques to detect signals within noisy environments, accurately estimate their characteristics, and merge information from different sensors or datasets. These methods are vital in fields like radar, communications, and data science, enabling systems to make reliable decisions despite randomness and uncertainty. The book provides a scientific framework for understanding and improving the way machines interpret complex, real-world signals under imperfect conditions.