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Signal detection enhanced by comodulated noise

机译:通过共调制噪声增强信号检测

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摘要

Signal detection in fluctuating background noise is a common problem in diverse fields of research and technology. It has been shown in hearing research that the detection of signals in noise that is correlated in amplitude across the frequency spectrum (comodulated) can be improved compared to uncorrelated background noise. We show that the mechanism leading to this effect is a general phenomenon which may be utilized in other areas where signal detection in comodulated noise needs to be done with a limited frequency resolution. Our model is based on neurophysiological experiments. The proposed signal detection scheme evaluates a fluctuating envelope, the statistics of which depend on the correlation structure across the spectrum of the noise. In our model, Signal detection does not require a sophisticated neuronal network but can be accomplished through the encoding of the compressed stimulus envelope in the firing rate of neurons in the auditory system.
机译:波动背景噪声中的信号检测是不同研究和技术领域的常见问题。听力研究表明,与不相关的背景噪声相比,可以改进在整个频谱(共调制)范围内振幅相关的噪声信号的检测。我们表明,导致这种效应的机制是一种普遍现象,可用于其他领域,在这些领域中,共调制噪声中的信号检测需要以有限的频率分辨率进行。我们的模型基于神经生理学实验。所提出的信号检测方案评估了一个波动包络,其统计量取决于整个噪声频谱的相关结构。在我们的模型中,信号检测不需要复杂的神经元网络,但可以通过对听觉系统中神经元放电速率的压缩刺激包络进行编码来完成。

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