| 极大阈值网络中的噪声提高Fisher信息 |
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| 引用本文： | 王友国,吴乐南. 极大阈值网络中的噪声提高Fisher信息[J]. 南京邮电大学学报(自然科学版), 2007, 27(2): 68-71 |
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| 作者姓名： | 王友国 吴乐南 |
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| 作者单位： | 1. 南京邮电大学,数理学院,江苏,南京,210003;东南大学,无线电工程系,江苏,南京,210096
2. 东南大学,无线电工程系,江苏,南京,210096 |
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| 摘 要： | 基于Fisher信息研究了3种典型噪声下极大阈值网络中的随机谐振和阈上随机谐振现象.通过研究得到极大阈值网络中的噪声能够提高Fisher信息,即随机谐振和阈上随机谐振现象存在,噪声有助于信号的估计.随着网络中阈值单元数的增加,Fisher信息的最大值迅速地增加,随机谐振和阈上随机谐振的功效显著增强.这些结果说明极大阈值网络中的随机谐振和阈上随机谐振对于噪声具有一定的鲁棒性,同时也拓展了随机谐振和阈上随机谐振在信号估计方面的应用.
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| 关 键 词： | 随机谐振 阈上随机谐振 极大阈值网络 Fisher信息 阈值 网络 噪声 Fisher 信息研究 Devices Threshold Network 应用 信号估计 鲁棒性 结果 增强 最大值 单元数 存在 声能 谐振现象 随机谐振 阈上 |
| 文章编号： | 1673-5439（2007）02-0068-04 |
| 收稿时间： | 2006-08-31 |
| 修稿时间： | 2006-08-31 |
Noise-Enhanced Fisher Information in a Maximizing Network of Threshold Devices |
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| WANG You-guo,WU Le-nan. Noise-Enhanced Fisher Information in a Maximizing Network of Threshold Devices[J]. JJournal of Nanjing University of Posts and Telecommunications, 2007, 27(2): 68-71 |
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| Authors: | WANG You-guo WU Le-nan |
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| Affiliation: | 1. College of Mathematics and Physics, Nanjing University of Posts and Telecommunications, Nanjing 210003, China 2. Department of Radio Engineering, Southeast University, Nanjing 210096, China |
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| Abstract: | Based on the Fisher information,a study is made on the phenomena of stochastic resonance(SR) and suprathreshold stochastic resonance(SSR)in a maximizing network of threshold devices for three representative noises,leading to the conclusion that the Fisher information can be enhanced with the noise,i.e.with the existence of SR and SSR,noise can improve the signal estimation.The maximum of the Fisher information can be significantly enhanced and the efficacy of SR and SSR can be dramatically improved as the number of threshold devices in the maximizing network increases.This demonstrates that SR and SSR are of certain robustness for noises,and the application of SR and SSR to signal estimation,has been expanded. |
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| Keywords: | stochastic resonance suprathreshold stochastic resonance maximizing network of threshold devices Fisher information. |
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