Stochastic resonance and data processing inequality

被引：12

作者：

McDonnell, MD ^{[1
]}

Stocks, NG

Pearce, CEM

Abbott, D

机构：

[1] Univ Adelaide, CBME, Adelaide, SA 5005, Australia

[2] Univ Adelaide, Sch Elect & Elect Engn, Adelaide, SA 5005, Australia

[3] Univ Warwick, Sch Engn, Coventry CV4 7AL, W Midlands, England

[4] Univ Adelaide, Sch Appl Math, Adelaide, SA 5005, Australia

来源：

ELECTRONICS LETTERS | 2003年 / 39卷 / 17期

关键词：

D O I：

10.1049/el:20030792

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The data processing inequality of information theory proves that no more information can be obtained out of a set of data than was there to begin with. However, many papers in the field of stochastic resonance report signal to noise ratio gains in some nonlinear systems due to the addition of noise. Such an observation appears on the surface to contradict the data processing inequality. It-is demonstrated that the data processing inequality is upheld for the case of a periodic input signals.

引用

页码：1287 / 1288

页数：2

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