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MultiTaper Method-Singular Value Decomposition (MTM-SVD): variabilidad espacio-frecuencia de las fluctuaciones del nivel del mar en el Pacífico surorientalMultiTaper Method-Singular Value Decomposition (MTM-SVD): spatial-frequency variability of the sea level in the southeastern Pacific
(Pontificia Universidad Católica de Valparaíso, 2017)
Multitaper method-singular value decomposition (mtm-svd): spatial-frequency variability of the sea level in the southeastern pacific
(PONTIFICIA UNIVERSIDAD CATOLICA DE VALPARAISO, 2012)
A singular value decomposition approach for improved taxonomic classification of biological sequences
(2011-12-22)
Abstract
Background
Singular value decomposition (SVD) is a powerful technique for information retrieval; it helps uncover relationships between elements that are not prima ...
A singular value decomposition approach for improved taxonomic classification of biological sequences
(2011-12-22)
Abstract
Background
Singular value decomposition (SVD) is a powerful technique for information retrieval; it helps uncover relationships between elements that are not prima ...
Monitoring of condition of the railway system.
(Association for Engineering Mechanics, 2010-05-31)
The multidimensional monitoring of symptoms applied to railway systems allow to detect and locate the sections of the track (straight and curved) that generate thedecrement of the safety and comfort of the passengers. It ...
Missing-value imputation using the robust singular-value decomposition: Proposals and numerical evaluationImputación de valores faltantes usando la descomposición robusta en valores singulares: Propuestas y evaluación numérica
(Crop Science, 26/03/2021)
A common problem in the analysis of data from multi-environment trials is imbalance caused by missing observations. To get around this problem, Yan proposed a method for imputing the missing values based on the singular-value ...
Multivariate reconstruction of functional networks from cortical sources dynamics in MEG/EEG
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2008)
In this paper, we present a simple method to find networks of time-correlated brain sources, using a singular value decomposition (SVD) analysis of the source matrix estimated after any linear distributed inverse problem ...
Nakagami-m approximations for multiple-input multiple-output singular value decomposition transmissions
(INST ENGINEERING TECHNOLOGY-IET, 2013)
The multiple-input multiple-output singular value decomposition (MIMO SVD) modulation is an efficient way of sending data through a multi-antenna communications link in which the transmitter has knowledge of the channel ...