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The suboptimality of randomized tests in distributed and quantized detection systems

机译:分布式和量化检测系统中随机测试的次优性

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摘要

The design of decentralized (or quantized) detection systems requires simultaneous optimization of quantizer mappings and ultimate fusion rule. It is shown that if the likelihood ratios of the unquantized (or raw) observations are independent and contain no point-masses of probability, the optimal test does not randomize; this is so despite the fact that the data to be fused can be considered discrete. The result is a considerable simplification in the design search.
机译:分散(或量化)检测系统的设计需要同时优化量化器映射和最终融合规则。结果表明,如果未量化(或原始)观测值的似然比是独立的,并且不包含概率的质点数,则最优检验不会随机化。尽管事实是这样,尽管可以将要融合的数据视为离散数据。结果是大大简化了设计搜索。

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