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Because SES is a multidimensional construct (that continues to generate definitional debate), it is particularly important that multiple measurement sources be investigated to elucidate the effect of 'SES' along with other neighborhood characteristics on trauma incidence, injury severity, and hospital mortality.
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Furthermore, a natural extension of single measurement vector is the joint sparse recovery problem, also known as the multiple measurement vector (MMV) problem, which arises naturally in source localization [3], neuromagnetic imaging [5], and equalization of sparse-communication channels [6].
A novel algorithm is presented based on sparse multiple measurement vector (MMV) model for direction of arrival (DOA) estimation of far-field narrowband sources.
Some, such as laboratory data, may be multiple measurements from the same source.
High-density diffuse optical tomography combines multiple measurements collected at multiple source-detector separations in order to improve the localization and the quantification of cerebral activity.
Multiple measurements were made as the source decayed from its initial activity of 440 kBq.
Robust LOS/NLOS mixture TOA source localization methods for multiple measurements using the error covariance of the sample mean and sample median were proposed.
Conversely, the use of multiple time gates permits, for every source-detector couple, to have multiple measurements with increasing depth sensitivity.
The connection between multiple measurements isn't conclusive, she hastens to add.
Multiple measurements may have better prediction power.
The causes of the scatter may include the action of multiple nonisotropic sources, measurement errors associated with departure from the plane-wave assumption, severe ray bending associated with medium heterogeneities, and focusing effects resulting from free-surface interactions related to the volcano topography (e.g., Ripperger et al., 2003).
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