EconPapers    
Economics at your fingertips  
 

Self-tuning and stochastic resonance in a simple threshold system—a filter theory approach

Toyonori Munakata, Takahiro Hada and Michihito Ueda

Physica A: Statistical Mechanics and its Applications, 2007, vol. 375, issue 2, 492-498

Abstract: Fully nonlinear filter theory is applied to a simple threshold system, which plays the role of an observer of input signals from a Brownian dynamical system. Our filtering results are discussed within the frameworks of both stochastic resonance and self-tuning of the threshold values, which gathers a lot of attention in relation to information processing in auditory systems.

Keywords: Self-tuning and stochastic resonance; Threshold system; Filter theory; Stochastic process (search for similar items in EconPapers)
Date: 2007
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437106010120
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:375:y:2007:i:2:p:492-498

DOI: 10.1016/j.physa.2006.09.024

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:phsmap:v:375:y:2007:i:2:p:492-498