Data driven approaches for the prediction of Earth's effective angular momentum functions

MK Shahvandi, J Gou, M Schartner… - IGARSS 2022-2022 …, 2022 - ieeexplore.ieee.org
Effective Angular Momentum (EAM) functions and their predictions are essential
geophysical information in describing the changes in earth's orientation. We present the …

SSANet: normal-mode interference spectrum extraction via SSA algorithm-unrolled neural network

S Zhu, W Gao, X Li - Frontiers in Marine Science, 2024 - frontiersin.org
In ocean acoustic fields, extracting the normal-mode interference spectrum (NMIS) from the
received sound intensity spectrum (SIS) plays an important role in waveguide-invariant …

Improving recurrent forecasting in singular spectrum analysis using Kalman filter algorithm

M Yarmohammadi, R Zabihi Moghadam… - Journal of Statistical …, 2023 - jsm.yazd.ac.ir
One of the most practical nonparametric methods in analysis of time series observations is
the singular spectrum analysis method‎.‎ This method has been developed and applied to …

interference spectrum extraction via SSA algorithm-unrolled

S Zhu, W Gao, X Li - Deep Learning for Marine Science, volume …, 2024 - books.google.com
According to the theory of normal modes (Jensen et al., 2011) in shallow-water acoustic
waveguides, the frequency-domain interference spectrum formed by each pair of normal …

Fusing nature with computational science for optimal signal extraction

H Hassani, MR Yeganegi, X Huang - Stats, 2021 - mdpi.com
Fusing nature with computational science has been proved paramount importance and
researchers have also shown growing enthusiasm on inventing and developing nature …