Band Limited

Band-limited functions, representing signals with a finite frequency range, are central to various scientific fields. Current research focuses on efficiently representing and processing these functions, employing techniques like neural networks (including U-Net variations and novel multiplicative architectures), Fourier transforms, and graph neural networks. These advancements improve the accuracy and efficiency of tasks such as non-line-of-sight imaging, 3D medical image registration, and acoustical signal processing, ultimately leading to more robust and computationally feasible solutions in these domains.