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The source location can be solved by utilizing spatially separated microphone pairs, that is, combining pairwise TDE functions to construct a spatial likelihood function (SLF).
The spatial likelihood method has been used to locate an acoustic source in real time.
Traditional localization methods maximize a spatial likelihood function (SLF) [5] to locate the source.
Two combination operators sum and product are used to produce two separate spatial likelihood functions (SLFs).
The z-axis is the marginalized spatial likelihood over the whole conversation.
These pairwise likelihood functions are then combined to construct the spatial likelihood function.
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Quantitatively, the log-likelihood gain is 0.30 and 0.26 per earthquake for total and spatial likelihoods, respectively.
Models for marginal extremes per location, and dependence of extremes between locations, are estimated using Bayesian inference with composite spatial likelihoods.
Geometrically, the summation of TDE functions represents the union of pairwise spatial likelihoods, that is, union of the sets of weighted hyperbolae.
The spatial variation in likelihood of P deficiency and responsiveness was much clearer at this scale and more efficient foliar sampling programmes could be designed.
The spatial distribution of likelihood at the wave from N65°E (T1 in Fig. 4) and N30°W (T2) are shown in Fig. 5. Two vertical cross-sections indicate the distributions of the likelihood on the planes shown in Fig. 5.
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