Results 111 to 120 of about 23,189,989 (210)

Description Length Based Signal Detection in singular Spectrum Analysis [PDF]

This paper provides an information theoretic analysis of the signal-noise separation problem in Singular Spectrum Analysis. We present a signal-plus-noise model based on the Karhunen-Loève expansion and use this model to motivate the construction of a ...
Md Atikur Rahman Khan, D.S. Poskitt
core  

ПІДВИЩЕННЯ ЕФЕКТИВНОСТІ СПЕКТРАЛЬНОГО АНАЛІЗУ ПРИ ПОПЕРЕДНІЙ ОБРОБЦІ СИГНАЛІВ МЕТОДОМ SSA В УМОВАХ ПОРОГОВОГО ВІДНОШЕННЯ СИГНАЛ-ШУМ

Сучасні інформаційні системи, 2019
Предмет статті – методи спектрального аналізу, метод сингулярного спектрального аналізу (singular spectrum analysis-SSA). Мета даної статті – підвищення ефективності спектрального аналізу (зменшення середньоквадратичної похибки оцінювання частоти) в ...
Volodymyr Vasylyshyn, Victor Lyutov, Dmytro Komin   +2 more
doaj   +1 more source

Toward an Improved Understanding of the Antarctic Coastal Zone and Its Contribution to Future Global Sea Level

Reviews of Geophysics, Volume 64, Issue 3, September 2026.
Abstract Understanding the coastal zone of the Antarctic Ice Sheet (AIS), where it interacts with the Southern Ocean and warmer air masses, is crucial for predicting Antarctica's influence on the global climate and sea level. This region has multiple tipping mechanisms that could trigger large, rapid, and potentially irreversible changes in the AIS ...
Kenichi Matsuoka, Geir Moholdt, Jennifer F. Arthur, Julien A. Bodart, Xiangbin Cui, Fausto Ferraccioli, René Forsberg, Vikram Goel, Tom A. Jordan, Felicity S. McCormack, Ruth Mottram, Hamish D. Pritchard, Calvin Shackleton, Kirsty J. Tinto, Fredrik Boberg, Marie G. P. Cavitte, Reinhard Drews, Pierre Dutrieux, Jörg Ebbing, Olaf Eisen, Hannes Eisermann, Alex S. Gardner, Chad A. Greene, Nicholas Holschuh, Stewart S. R. Jamieson, Byeong‐Hoon Kim, Naomi Krauzig, Bernd Kulessa, Carlton Leuschen, Jilu Li, Lu Li, Jonas Liebsch, Joseph A. MacGregor, Emma MacKie, Anirudha Mahagaonkar, Joséphine Maton, Mathieu Morlighem, Francisco Navarro, Peter D. Neff, Inès N. Otosaka, Frank Pattyn, Antonia Ruppel, Rebecca J. Sanderson, Hélène Seroussi, Andrew Shepherd, Matthew R. Siegfried, Thomas Slater, Arjen P. Stroeven, Michael Studinger, Thomas Teisberg, Ryan A. Venturelli, Jeremy P. Winberry, Chen Zhao, Lu An, Jonathan L. Bamber, Robin E. Bell, Robert G. Bingham, Johanna Brehmer‐Moltmann, Graeme Eagles, Jamin Greenbaum, Jorn Gronset, Won Sang Lee, Emmanuel Le Meur, Lenneke M. Jong, Katrin Lindbäck, Sven Lidström, Mareen Lösing, Masahiro Minowa, Mayuri Pandey, Yogesh Ray, Mirko Scheinert, Dustin M. Schroeder, Thorsten Seehaus, Kaian Shahateet, Daniel Steinhage, Xueyuan Tang, Drew Taylor, Hannah Verboncoeur, Junjun Yang, Duncan A. Young   +79 more
wiley   +1 more source

Application of Singular Spectrum Analysis (SSA) for Delineating Geomagnetic and Lithospheric Signatures Associated With M7.6 Japan Earthquake

Earth and Space Science
Abstract In this paper, Singular Spectral Analysis (SSA) is applied to the geomagnetic field to delineate signatures from different sources, such as geomagnetic variability and lithospheric processes. We performed SSA on the Y component of the Swarm satellite magnetic field By during the period from September 2023
Amrita Yadav, Jayashree Bulusu, Essam Ghamry, Dedalo Marchetti, A. P. Dimri   +4 more
openaire   +1 more source

Denoising Stock Price Time Series with Singular Spectrum Analysis for Enhanced Deep Learning Forecasting

Analytics
Aim: Stock price prediction remains a highly challenging task due to the complex and nonlinear nature of financial time series data. While deep learning (DL) has shown promise in capturing these nonlinear patterns, its effectiveness is often hindered by ...
Carol Anne Hargreaves, Zixian Fan
doaj   +1 more source

Peramalan Kedatangan Wisatawan Macanegara ke Provinsi Bali ‎Menggunakan Metode Singular Spectrum Analysis (SSA)‎

Future Academia : The Journal of Multidisciplinary Research on Scientific and Advanced
Pariwisata Bali adalah sektor strategis dalam berperan penting terhadap perekonomian nasional, ‎khususnya sebagai penyumbang utama devisa negara dan lapangan kerja. Fluktuasi jumlah ‎wisatawan mancanegara sangat dipengaruhi oleh faktor musiman, dinamika ekonomi global, ‎perubahan tren pariwisata internasional, serta guncangan eksternal seperti krisis ...
Sri Yuliana, Raihanah Rafidah, Gumgum Darmawan   +2 more
openaire   +1 more source

Peramalan Produksi Cabai Merah di Jawa Barat Menggunakan Metode Singular Spectrum Analysis (SSA)

STATISTIKA: Journal of Theoretical Statistics and Its Applications, 2017
Peramalan merupakan suatu proses untuk memperkirakan peristiwa di waktu mendatang berdasarkan data yang relevan di waktu lampau. Produksi Cabai Merah di Jawa Barat merupakan salah satu data deret waktu. Peramalan pada data berpola musiman ini dilakukan dengan metode Singular Spectrum Analysis..
openaire   +3 more sources

PREDIKSI OUTFLOW UANG KARTAL DI KALIMANTAN BARAT DENGAN METODE SINGULAR SPECTRUM ANALYSIS (SSA)

Bimaster : Buletin Ilmiah Matematika, Statistika dan Terapannya, 2019
Uang merupakan komponen penting dalam perekonomian yang digunakan sebagai alat pembayaran dalam melakukan transaksi jual dan beli. Banyaknya uang yang beredar di masyarakat berpengaruh pada kondisi perekonomian suatu negara. Dalam kewenangan untuk mengatur transaksi arus keluar/masuk uang kartal, diperlukan Rencana Kebutuhan Uang (RKU).
openaire   +2 more sources

Singular Spectrum Analysis: Methodology and Comparison [PDF]

, 2007
In recent years Singular Spectrum Analysis (SSA), used as a powerful technique in time series analysis, has been developed and applied to many practical problems. In this paper, the performance of the SSA technique has been considered by applying it to a
Hassani, Hossein
core   +1 more source

Singular Spectrum Analysis: a new decomposition technique applied to environmental systems [PDF]

, 2008
EnIn the last few years Singular Spectrum Analysis (SSA), a powerful tool in time series In the last few years Singular Spectrum Analysis (SSA), a powerful tool in time series reconstruction of components may based on the functional clustering algorithm ...
Bilancia, Massimo, Stea, Girolamo
core   +3 more sources