Maximising information transfer through nonlinear noisy devices

机译：通过非线性噪声设备最大化信息传递

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Consider an array of parallel comparators (threshold devices) receiving the same input signal, but subject to independent noise, where the output from each device is summed to give an overall output. Such an array is a good model of a number of nonlinear systems including flash analogue to digital converters, sonar arrays and parallel neurons. Recently, this system was analysed by Stocks in terms of information theory, who showed that under certain conditions the transmitted information through the array is maximised for non-zero noise. This phenomenon was termed Suprathreshold Stochastic Resonance (SSR). In this paper we give further results related to the maximisation of the transmitted information in this system.

机译：考虑一个接收相同输入信号但受到独立噪声影响的并行比较器阵列（阈值设备），其中每个设备的输出相加得出总输出。这样的阵列是许多非线性系统的良好模型，包括闪光灯模数转换器，声纳阵列和并行神经元。最近，Stocks从信息论的角度对该系统进行了分析，后者表明在某些条件下，通过阵列传输的信息对于非零噪声而言是最大化的。这种现象被称为超阈随机共振（SSR）。在本文中，我们给出了与该系统中传输信息最大化相关的更多结果。

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来源
《Conference on Biomedical Applications of Micro-and Nanoengineering, Dec 16-18, 2002, Melbourne, Australia》|2002年|p.254-263|共10页
会议地点 Melbourne(AU)
作者
Mark D. McDonnell; Nigel G. Stocks; Charles E. M. Pearce; Derek Abbott;
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作者单位

Centre for Biomedical Engineering (CBME) and Department of Electrical Electronic Engineering, The University of Adelaide, SA 5005, Australia;

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会议组织
原文格式 PDF
正文语种 eng
中图分类 Q9;
关键词
optimal quantisation; stochastic resonance; ADC;

机译：最佳量化；随机共振ADC;

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Maximising information transfer through nonlinear noisy devices

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