Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Ao Cai"'
Autor:
Ao Cai, Colin Zelt
Publikováno v:
GEOPHYSICS. 87:R465-R486
We develop an early arrival waveform inversion (EAWI) technique for high-resolution near-surface velocity estimation by iteratively updating the P-wave velocity model to minimize the difference between the observed and calculated seismic refraction d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::333b0b55605fb29ce9b8829f15aff3ad
https://doi.org/10.1190/geo2022-0048.1
https://doi.org/10.1190/geo2022-0048.1
Autor:
Ao Cai
Publikováno v:
Annales Henri Poincaré. 23:4195-4226
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d38b9939a3fa3e0bac147bc246d75cf5
https://doi.org/10.1007/s00023-022-01192-y
https://doi.org/10.1007/s00023-022-01192-y
Autor:
Ao Cai, Colin A. Zelt
Publikováno v:
Second International Meeting for Applied Geoscience & Energy.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6dce11ee0c2649e6f838c48dea2c4e1
https://doi.org/10.1190/image2022-3750607.1
https://doi.org/10.1190/image2022-3750607.1
Autor:
Ao Cai, Lingrui Ge
Publikováno v:
Journal of Dynamics and Differential Equations. 34:2079-2104
In this paper, we prove the generic version of Cantor spectrum property for quasi-periodic Schrodinger operators with finitely smooth and small potentials, and we also show pure point spectrum for a class of multi-frequency $$C^k$$ long-range operato
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::598aa471fa4badcfc8f717e02c6239ea
https://doi.org/10.1007/s10884-021-09965-5
https://doi.org/10.1007/s10884-021-09965-5
Publikováno v:
Optics Continuum. 2:877
In a fringe projection profilometry system, the phase error introduced by the projector's gamma distortion is the main source of errors. To overcome this problem, we present a phase compensation scheme for multi-dimensional harmonic coefficient predi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b96834fddc8af3dabd65c21dcd4249d4
https://doi.org/10.1364/optcon.480297
https://doi.org/10.1364/optcon.480297
Publikováno v:
Thin-Walled Structures. 185:110543
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::808be9e66eb1a1b921abc10bd1f26f5a
https://doi.org/10.1016/j.tws.2023.110543
https://doi.org/10.1016/j.tws.2023.110543
Publikováno v:
Journal of Geophysical Research: Solid Earth, vol 127, iss 3
Machine learning algorithm has been applied to shear wave velocity (Vs) inversion in surface wave tomography, where a set of starting 1-D Vs profiles and their corresponding synthetic dispersion curves are used in network training. Previous studies s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::222c90e756af2d8af7e743d1f31337dd
https://doi.org/10.1029/2021jb023598
https://doi.org/10.1029/2021jb023598
We introduce the concept of mixed random-quasiperiodic linear cocycles. We characterize the ergodicity of the base dynamics and establish a large deviations type estimate for certain types of observables. For the fiber dynamics we prove the uniform u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8377c6c552a955e15e2dc8d9b7517e18
http://arxiv.org/abs/2109.09544
http://arxiv.org/abs/2109.09544
Current machine learning based shear wave velocity (Vs) inversion using surface wave dispersion measurements utilizes synthetic dispersion curves calculated from existing 3-D velocity models as tra...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6f040868a4d4e2ca26d5723dd3e3b23
https://doi.org/10.1002/essoar.10505231.1
https://doi.org/10.1002/essoar.10505231.1