Results 1 to 10 of about 23,189,989 (210)

A new algorithm in singular spectrum analysis framework:The Overlap-SSA (ov-SSA) [PDF]

open access: yesSoftwareX, 2018
The Singular Spectrum Analysis (SSA) is powerful method, capable of working with arbitrary statistical process and it is adaptive to the underlaying data.
M.C.R. Leles   +3 more
doaj   +6 more sources

SSA-GAN: Singular Spectrum Analysis-Enhanced Generative Adversarial Network for Multispectral Pansharpening

open access: yesMathematics
Pansharpening is essential for remote sensing applications requiring high spatial and spectral resolution. In this paper, we propose a novel Singular Spectrum Analysis-Enhanced Generative Adversarial Network (SSA-GAN) for multispectral pansharpening.
Lanfa Liu   +4 more
doaj   +4 more sources

Gap-Filling of MODIS Time Series Land Surface Temperature (LST) Products Using Singular Spectrum Analysis (SSA) [PDF]

open access: yesAtmosphere, 2018
Land surface temperature (LST) is a basic parameter in energy exchange between the land and the atmosphere, and is frequently used in many sciences such as climatology, hydrology, agriculture, ecology, etc.
Hamid Reza Ghafarian Malamiri   +4 more
doaj   +5 more sources

Singular Spectrum Analysis of Tremorograms for Human Neuromotor Reaction Estimation

open access: yesMathematics, 2022
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 person’s neuromotor reactions in order to infer the state of the ...
Olga Bureneva   +2 more
doaj   +3 more sources

Automatic Grouping in Singular Spectrum Analysis

open access: yesForecasting, 2019
Singular spectrum analysis (SSA) is a non-parametric forecasting and filtering method that has many applications in a variety of fields such as signal processing, economics and time series analysis.
Mahdi Kalantari, Hossein Hassani
doaj   +3 more sources

Recurrent Forecasting in Singular Spectrum Decomposition

open access: yesEngineering Proceedings, 2023
In this paper, the Recurrent Singular Spectrum Decomposition (R-SSD) algorithm is proposed as an improvement over the Recurrent Singular Spectrum Analysis (R-SSA) algorithm for forecasting non-linear and non-stationary narrowband time series.
Maryam Movahedifar   +2 more
doaj   +1 more source

A Novel Short-Term Load Forecasting Method by Combining the Deep Learning With Singular Spectrum Analysis

open access: yesIEEE Access, 2021
One of the major issues about the operation of power systems is the prediction of load demand. Moreover, load forecasting is of prime concern to system operators.
Manh-Hai Pham   +2 more
doaj   +1 more source

PERAMALAN NILAI TUKAR PETANI MENGGUNAKAN METODE SINGULAR SPECTRUM ANALYSIS

open access: yesE-Jurnal Matematika, 2020
Singular spectrum analysis (SSA) is a new method in time series analysis that uses a nonparametric approach. The purpose of this study is to determine the model and forecast the farmer exchange rate in the Province of Bali using SSA.
GILANG BIMASAKTI ANDHIKA   +2 more
doaj   +1 more source

RETRACTED: Application of VMD–SSA–BiLSTM algorithm to smart grid financial market time series forecasting and sustainable innovation management

open access: yesFrontiers in Energy Research, 2023
Introduction: This paper proposes a deep learning algorithm based on the VMD-SSA-BiLSTM model for time series forecasting in the smart grid financial market.
Chengran Yin   +2 more
doaj   +1 more source

PERAMALAN JUMLAH KUNJUNGAN WISATAWAN MANCANEGARA KE BALI MENGGUNAKAN METODE SINGULAR SPECTRUM ANALYSIS

open access: yesE-Jurnal Matematika, 2019
Singular spectrum analysis (SSA) is a method to decompose the original time series into a summation of a small number of components that can be interpreted as varied trends, oscillatory, and noise components.
MIRA AYU NOVITA SARI   +2 more
doaj   +1 more source

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