In this chapter, various multitarget-multisensor tracking algorithms to handle state estimation, data association, track initialization, spatial clutter intensity estimation, debaising, and multisensor fusion in centralized/distributed/decentralized architecture are discussed in detail, including their quantitative and qualitative merits.
To further analyze the effects of the sample support, noise power uncertainty, and shadowing parameters, we need to have a single and quantitative figure of merit.
Although the ROC curves fully characterize the performance, it is also desirable to have a single and quantitative figure of merit in order to compare different detectors.
In this paper, upon using purpose-tailored quantitative figures of merit, we have addressed in some details the relation between nonlinearity and nonclassicality in a class of nonlinear oscillators that is relevant in many contexts, including experimental solid state physics.
Finally, in order to compare different parallelisation schemes, we introduce a time error index that combines time complexity (asymptotic order of the running time) and estimation accuracy (asymptotic error rates) into a single quantitative figure of merit that can be used to compare schemes with different degrees of interaction.
However, compared to Figure 10, in Figure 11, we can see interesting results that the detector which ignores temporal correlation outperforms spatio-temporal correlation-based schemes due to the low selectivity of the channel.Before commenting on these interesting results, for further confirmation, we need to have a single and quantitative figure of merit, so we plot AUC curves in Figure 12.
In the classic "infinitesimal model" of quantitative genetics, genetic merit is considered to be the sum of thousands of allelic effects.
Debating the merits of quantitative easing is perfectly reasonable.
At this point, we could engage in a heated debate over the value of stories, and the relative merits of quantitative versus qualitative data.
If high finance is your thing, you may have recently noticed a cheerful woman from Brooklyn holding forth on the merits of quantitative easing.
