ABSTRACT N-body simulations provide most of our insight into the structure and evolution
of galaxies, but our analyses of these are often heuristic and from simple statistics. We …

Understanding spatial composition and characteristics of urban communities is an important
factor determining the potential for social interactions between residents, greater chances for …

Singular spectrum analysis (SSA) is a non-parametric adaptive technique used for time
series analysis. It allows solving various problems related to time series without the need to …

In order to obtain reliable GNSS-R derived sea level heights (SLHs), it is crucial to extract
accurate reflected signals from signal-to-noise ratio (SNR) data. In this study, Quadratic …

Background: Infectious disease is one of the main issues that threatens human health
worldwide. The 2019 outbreak of the new coronavirus SARS-CoV-2, which causes the …

Singular spectrum analysis (SSA) is a method of time series analysis and is used in various
fields, including medicine. A tremorogram is a biological signal that allows evaluation of a …

This paper presents a set of new core inflation measures for Brazil based on the Singular
Spectrum Analysis (SSA) method. The measures are based on the official target used in the …

Rainfall can provide many benefits such as for agriculture, water resource management, and
electricity. However, it can also cause hydrometeorological disasters such as floods and …

Singular spectrum analysis allows automation for the extraction of trends of arbitrary shapes.
Here, we study how the estimation of signal ranks influences the accuracy of trend extraction …

Singular spectrum analysis (SSA) is a nonparametric spectral decomposition of a time
series. A time series is exactly separated into arbitrary number of additive subsequences …