Sparse identification of nonlocal interaction kernels in nonlinear gradient flow equations via partial inversion
JA Carrillo, G Estrada-Rodriguez, L Mikolas… - arXiv preprint arXiv …, 2024 - arxiv.org
We address the inverse problem of identifying nonlocal interaction potentials in nonlinear
aggregation-diffusion equations from noisy discrete trajectory data. Our approach involves …
aggregation-diffusion equations from noisy discrete trajectory data. Our approach involves …
Sparse signal recovery for WIM measurements from undersampled data through compressed sensing
This study presents a method to recover the signal components critical for weigh-in-motion
(WIM) measurements using compressed sensing. Through a comparative study, the wavelet …
(WIM) measurements using compressed sensing. Through a comparative study, the wavelet …
Tolerant compressed sensing with partially coherent sensing matrices
Most of compressed sensing (CS) theory to date is focused on incoherent sensing, that is,
columns from the sensing matrix are highly uncorrelated. However, sensing systems with …
columns from the sensing matrix are highly uncorrelated. However, sensing systems with …
Gravimetric Anomaly Detection Using Compressed Sensing
RD Kappedal - 2014 - digital.lib.washington.edu
We address the problem of identifying underground anomalies (eg holes) based on gravity
measurements. This is a theoretically well-studied yet difficult problem. In all except a few …
measurements. This is a theoretically well-studied yet difficult problem. In all except a few …