Detection of Anomalies in Natural Complicated Data Structures Based on a Hybrid Approach

O Mandrikova, B Mandrikova, O Esikov - Mathematics, 2023 - mdpi.com
A hybrid approach is proposed to detect anomalies in natural complicated data structures
with high noise levels. The approach includes the application of an autoencoder neural …

Hankel Spectrum Analysis: A Decomposition Method for Quasi‐Periodic Signals and Its Geophysical Applications

K Shi, H Ding - Journal of Geophysical Research: Solid Earth, 2023 - Wiley Online Library
To analyze quasi‐periodic signals (with time‐varying complex amplitudes/frequencies)
typically contained in geophysical observables is a quest that has seen continual advances …

A Novel Method for Analyzing the Spatiotemporal Characteristics of GNSS Time Series: A Case Study in Sichuan Province, China

X Chen, S Zhang, B Wang, G Jiang, C Cheng, X Zhou… - Applied Sciences, 2024 - mdpi.com
The motion of a continuously operating reference station is usually dominated by the long-
term crustal motions of the tectonic block on which the station is located. Monitoring changes …

Global Geodetic Observing System in Poland 2019–2022

K Sosnica, R Zajdel, J Bosy - Advances in Geodesy and …, 2023 - journals.pan.pl
This paper summarizes the contribution of Polish scientific units to the development of the
Global Geodetic Observing System (GGOS) in recent years. We discuss the issues related to …

[PDF][PDF] Hankel Spectrum Analysis: A novel signal decomposition method and its geophysical applications

K Shi, H Ding - arXiv preprint arXiv:2206.04519, 2022 - researchgate.net
To analyze non-stationary harmonic signals typically contained in geophysical observables
is a quest that has seen continual advances in numerical techniques over the decades. In …