Hypercomplex Phase Retrieval: Theory, Algorithms, and Applications in Optical Imaging

Hypercomplex signal processing provides a powerful framework to handle high-dimensional signals by leveraging the intrinsic correlation across signal dimensions through Clifford algebra. The hypercomplex phase retrieval problem, where complex-valued signals are estimated from their intensity-only measurements, has emerged as an important application of this approach, with significant implications in optical imaging and computational sensing.