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In general, as long as sampling frequencies are formulated as FOF, our sampling model can be used for statistical evaluation and is independent of experimental details in most circumstances.
The results confirm that the proposed sampling model, dictionary, and algorithm can realize the goal of under-sampling and reconstructing AE signals with high accuracy and speed.
(a) Sampling model of a quad-element PIR sensor.
Brennan et al. [15] developed the first individual sampling model.
Figure 1 Sampling model of real beam scanning radar.
Using this model, a limited sampling model was developed.
Before sparse reconstruction theory can be applied, the time-sequence sampling model should first be established.
For the random sampling model, the following assumptions are made: 1.
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The estimates were compared to simple random sampling, model-assisted, and model-based estimates that would have been obtained if the areas had been sampled.
Second, according to our newly-established transcriptome-sampling model [ 37], transcripts with certain expression levels have finite probability to be detected at a given sampling stage.
KNHANES represents a nationwide study of non-institutionalised civilians and used a stratified and multistage probability sampling design with a rolling survey-sampling model.
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