摘要
在弱信号情况下,一种易于实现且性能渐近于Neyman-Pearson处理器的结构称为局部最优处理器。利用分叉噪声构造了一类局部最优处理器,证实了这类处理器对于非零噪声强度具有最大输出输入信噪比增益,即局部最优处理器性能的噪声增强现象。
Under the weak-signal condition,a simple implemented and near-optimal structure to the Neyman-Pearson processor is the locally optimum processor.In this paper,a novel kind of locally optimum processor is established by the dichotomous noise.It is demonstrated that this locally optimum processor has its maximal output-input SNR gain at a nonzero noise level,that is,the noise-enhanced effect in the locally optimum processor.
出处
《复杂系统与复杂性科学》
EI
CSCD
北大核心
2012年第2期36-40,共5页
Complex Systems and Complexity Science
基金
山东省自然科学基金(ZR2010FM006)
关键词
噪声增强现象
广义高斯噪声
局部最优处理器
信噪比增益
noise-enhanced effect
generalized gaussian noise
locally optimum processor
signal-to-noise ratio gain