Classification of Spatiotemporal Data via Asynchronous Sparse Sampling: Application to Flow around a Cylinder
Classification of Spatiotemporal Data via Asynchronous Sparse Sampling: Application to Flow around a Cylinder
We present a novel method for the classification and reconstruction of time-dependent, high-dimensional data using sparse measurements, and we apply it to the flow around a cylinder. Assuming the data lies near a low-dimensional manifold (low-rank dynamics) in space and has periodic time dependency with a sparse number of Fourier …