Sentence examples for using the beamformer weights from inspiring English sources

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Sensor-level data were then spatially filtered using the beamformer weights at the location of interest to create a single timeseries per trial per participant per analysis.

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The second approach uses a digital beamformer as a spatial filter to mitigate the interferences and then detect the signal using the beamformer output.

The reason is that we use (25) to calculate the beamformer weights where R i+n is assumed to be known, while this assumption is not necessary for the beamformers of [25, 26].

The VE approach makes use of the same constrained spatial filter as for SAM analysis, with the beamformer weights for each location computed for a predetermined set of coordinates.

Beamforming can be classified as either fixed beamforming or adaptive one, depending on how the beamformer weights are chosen.

Both beamformer-weights-normalized and nonbeamformer-weights-normalized envelopes were estimated (these will be used later in the group-level analysis and see [Luckhoo et al., 2014] for a description of the beamformer weights).

Another way to design the beamformer weights is according to the presented data, which gives an optimal beamformer.

It is assumed that and for (We consider equal power allocations to all users. Note that power control can be included in the design of beamformers by using a two-step approach, that is, by optimizing the beamformers first and then the powers or vice-versa [1, 2].) Moreover, following the spirit of [7], we consider that the beamformer weights are normalized, that is,.

The beamformer weights are determined by an optimization algorithm so that the signal from a location of interest contributes to the beamformer output unattenuated, whereas the signal from other locations is suppressed.

In short, the data at the source location of interest are given by multiplying the beamformer weights vector by the original sensor data.

(5) Obtain the beamformer weight vector w Rec with Equation (28).  .

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