Explores the Fourier transform properties with derivatives and introduces the Laplace transform for signal transformation and solving differential equations.
Provides a comprehensive review of signals and systems, covering topics such as time-domain analysis, frequency-domain analysis, and Fourier transform.
Covers subquadratic attention mechanisms and state space models, focusing on their theoretical foundations and practical implementations in machine learning.