Independent Subspace Analysis of the Sea Surface Temperature Variability: Non-Gaussian Sources and Sensitivity to Sampling and Dimensionality
المؤلفون المشاركون
Pires, Carlos A. L.
Hannachi, Abdel
المصدر
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-23، 23ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-08-22
دولة النشر
مصر
عدد الصفحات
23
التخصصات الرئيسية
الملخص EN
We propose an expansion of multivariate time-series data into maximally independent source subspaces.
The search is made among rotations of prewhitened data which maximize non-Gaussianity of candidate sources.
We use a tensorial invariant approximation of the multivariate negentropy in terms of a linear combination of squared coskewness and cokurtosis.
By solving a high-order singular value decomposition problem, we extract the axes associated with most non-Gaussianity.
Moreover, an estimate of the Gaussian subspace is provided by the trailing singular vectors.
The independent subspaces are obtained through the search of “quasi-independent” components within the estimated non-Gaussian subspace, followed by the identification of groups with significant joint negentropies.
Sources result essentially from the coherency of extremes of the data components.
The method is then applied to the global sea surface temperature anomalies, equatorward of 65°, after being tested with non-Gaussian surrogates consistent with the data anomalies.
The main emerging independent components and subspaces, supposedly generated by independent forcing, include different variability modes, namely, The East-Pacific, the Central Pacific, and the Atlantic Niños, the Atlantic Multidecadal Oscillation, along with the subtropical dipoles in the Indian, South Pacific, and South-Atlantic oceans.
Benefits and usefulness of independent subspaces are then discussed.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Pires, Carlos A. L.& Hannachi, Abdel. 2017. Independent Subspace Analysis of the Sea Surface Temperature Variability: Non-Gaussian Sources and Sensitivity to Sampling and Dimensionality. Complexity،Vol. 2017, no. 2017, pp.1-23.
https://search.emarefa.net/detail/BIM-1142680
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Pires, Carlos A. L.& Hannachi, Abdel. Independent Subspace Analysis of the Sea Surface Temperature Variability: Non-Gaussian Sources and Sensitivity to Sampling and Dimensionality. Complexity No. 2017 (2017), pp.1-23.
https://search.emarefa.net/detail/BIM-1142680
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Pires, Carlos A. L.& Hannachi, Abdel. Independent Subspace Analysis of the Sea Surface Temperature Variability: Non-Gaussian Sources and Sensitivity to Sampling and Dimensionality. Complexity. 2017. Vol. 2017, no. 2017, pp.1-23.
https://search.emarefa.net/detail/BIM-1142680
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1142680
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر