HiRA-Pro: High resolution alignment of multimodal spatio-temporal data: a process physics driven approach

arXiv:2403.06888v1 Announce Type: cross
Abstract: We present HiRA-Pro, a novel procedure to align, at high spatio-temporal resolutions, multimodal signals from real-world processes and systems that exhibit diverse transient, nonlinear stochastic dynamics, such as manufacturing machines. It is based on discerning and synchronizing the process signatures of salient kinematic and dynamic events in these disparate signals. HiRA-Pro addresses the challenge of aligning data with sub-millisecond phenomena, where traditional timestamp, external trigger, or clock-based alignment methods fall short. The effectiveness of HiRA-Pro …

abstract alignment arxiv cs.lg data diverse dynamics machines manufacturing multimodal novel physics physics.app-ph physics.data-an process processes stochastic systems temporal type world