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We propose a signal processing method that can identify an impulsive sources' location.
To achieve signal decorrelation, the spatial smoothing (SS) [19] and forward-backward spatial smoothing (FBSS) [20] are especially noteworthy, which achieve coherent sources location.
If the direction-of-arrivals (DOAs) of the sources are known a priori, mainly by a source localization method, the beamforming filters are estimated using this spatial information of the sources location (cf. Figure 4).
The Location Server collects information from different sources (Location Generators); it works as a Policy Enforcement Point (PEP) delegating to the Policy Decision Point (PDP) (i.e., Rule Handler) the decision about returning location requests and location events.
The meaning of a surname generally derives from one of the following four sources: location (toponym) such as a specific place (e.g. London, York) or feature of the place or landscape (e.g. Hill, Townsend); a relationship (e.g. Richardson); a nickname (e.g. Grey, Wellbeloved); or an occupation or office (e.g. Sawyer, Skinner).
The technique estimates the source activity without a priori assumptions about the sources' location and activity or the number of sources.
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The variations are related to different bone sources, locations within those sources, and mechanical testing conditions.
Browse to the source location on the local computer.
Browse to the source location on the remote computer.
"Delta T" source location utilises an artificial source; recording differences in times of arrival information from a number of locations, to improve source location.
The Kalman filter is used to improve the trajectory estimation by predicting the location based on the previous source location and the current measurement of the source location.
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