The Linear Series Decomposition Learner (LSDL): A Multi-Geometric Theory of Signal Structure and Representation
By establishing recursive support localisation as a principled mechanism through which complementary signal geometries emerge, the LSDL provides a mathematically grounded framework for interpretable signal representation, structural analysis, and representation learning across diverse signal-processing applications.