3 papers
math.NA2024
Rapid Grassmannian Averaging with Chebyshev Polynomials
Brighton Ancelin, Alex Saad-Falcon, Kason Ancelin +1
We propose new algorithms to efficiently average a collection of points on a Grassmannian manifold in both the centralized and decentralized settings. Grassmannian points are used…
eess.SP2024
Radon Implicit Field Transform (RIFT): Learning Scenes from Radar Signals
Daqian Bao, Alex Saad-Falcon, Justin Romberg
Data acquisition in array signal processing (ASP) is costly because achieving high angular and range resolutions necessitates large antenna apertures and wide frequency bandwidths,…
eess.IV2024
MANGO: Learning Disentangled Image Transformation Manifolds with Grouped Operators
Brighton Ancelin, Yenho Chen, Peimeng Guan +4
Learning semantically meaningful image transformations (i.e. rotation, thickness, blur) directly from examples can be a challenging task. Recently, the Manifold Autoencoder (MAE) p…