Results 11 to 20 of about 23,189,989 (210)

PENERAPAN METODE SINGULAR SPECTRUM ANALYSIS (SSA) PADA PERAMALAN JUMLAH PENUMPANG KERETA API DI INDONESIA TAHUN 2017

open access: yesEuclid, 2018
Peramalan data deret waktu dengan Singular Spectrum Analysis (SSA) tengah populer beberapa tahun terakhir. Kemampuan SSA dalam menguraikan pola data deret waktu dalam bentuk yang sederhana dianggap cukup baik dalam menghasilkan data ramalan.
Hirlan Khaeri   +2 more
doaj   +6 more sources

Polarized signal singular spectrum analysis with complex SSA

open access: yesICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
International audienceThis paper considers the analysis of bivariate signals using complex Singular Spectrum Analysis (SSA). It introduces a pseudo-correlation based criterion in the grouping step of complex SSA. The advantage of using pseudo-correlation
Journé, Sébastien   +3 more
core   +2 more sources

Rapid assessment of populations trends of invasive species: Singular Spectrum Analysis (SSA) [PDF]

open access: yesManagement of Biological Invasions, 2010
Singular Spectrum Analysis (SSA) is a powerful analytical approach for biodi-versity management. Its main advan-tages are due to its intuitive processing and visualization, since mathematical workflow is conceptually similar to the widely accepted ...
DANA, ED
doaj   +4 more sources

Application of singular spectrum analysis (SSA) method on forecasting train passengers data in sumatera

open access: yesDesimal, 2023
A time series is a series of observations of a variable that is collected, recorded, or observed over a period of time in sequence. Singular Spectrum Analysis is a powerful method to analyze time series data by decomposing the original time series data ...
Debi Nur Fitriani   +3 more
doaj   +2 more sources

PERAMALAN BEBAN LISTRIK DAERAH ISTIMEWA YOGYAKARTA DENGAN METODE SINGULAR SPECTRUM ANALYSIS (SSA)

open access: yesMedia Statistika, 2019
This paper will study forecasting model for electricity demand in Yogyakarta and forecast it for 2019 until 2024. Usually, electricity demand data contain seasonal. We propose Singular Spectral Analysis-Linear Recurrent Formula (SSA-LRF) method.
Herni Utami   +4 more
doaj   +3 more sources

Unveiling hidden wavepacket dynamics in time-resolved x-ray scattering data via singular spectrum analysis [PDF]

open access: yesStructural Dynamics
Time-resolved x-ray liquidography (TRXL) is a powerful technique for directly tracking ultrafast structural dynamics in real space. However, resolving the motion of vibrational wavepackets generated by femtosecond laser pulses remains challenging due to ...
Jaeseok Kim   +7 more
doaj   +2 more sources

Image denoising based on Singular-Spectrum-Analysis (SSA) in femtosecond stimulated Raman scattering microscopy [PDF]

open access: yesEPJ Web of Conferences
Stimulated Raman scattering (SRS) microscopy is able to perform high sensitivity biological imaging with high spatial and spectral resolution and image acquisition time of a few seconds. Nevertheless, SRS images often suffer from low SNR, due to the weak
Costa Giovanni   +4 more
doaj   +3 more sources

Multi-Party Verifiably Collaborative Encryption for Biomedical Signals via Singular Spectrum Analysis-Based Chaotic Filter Bank Networks [PDF]

open access: yesSensors
This paper proposes a multi-party verifiably collaborative system for encrypting the nonlinear and the non-stationary biomedical signals captured by biomedical sensors via the singular spectrum analysis (SSA)-based chaotic networks.
Xiwen Zhang   +2 more
doaj   +2 more sources

APPLICATION OF SINGULAR SPECTRUM ANALYSIS (SSA) FOR FORECASTING ETHEREUM CRYPTOCURRENCY PRICES [PDF]

open access: yes
The rapid growth and volatility of cryptocurrency markets, especially Ethereum, present both opportunities and challenges for investors and traders. This study explores the application of Singular Spectrum Analysis (SSA) for forecasting Ethereum's daily ...
VEGA IVANKA VIVANA, .
core   +2 more sources

Air Quality Prediction Based on Singular Spectrum Analysis and Artificial Neural Networks [PDF]

open access: yesEntropy
Singular spectrum analysis is a powerful nonparametric technique used to decompose the original time series into a set of components that can be interpreted as trend, seasonal, and noise.
Javier Linkolk López-Gonzales   +3 more
doaj   +2 more sources

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