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Paper Abstract and Keywords
Presentation 2018-01-22 16:45
[Invited Talk] Stochastic resonance and its applicability to communication systems
Takaya Yamazato (Nagoya Univ.), Yukihiro Tadokoro, Hiroya Tanaka (Toyota Central R&D Labs.,), Hiroya Tanaka (Nagoya Univ.), Shintaro Arai (Okayama Univ of Science), Yasuo Nakashima, Shintaro Hiraoka (Nagoya Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) Stochastic resonance (SR) is a nonlinear phenomenon where system response can be boosted by adding noise.
Traditionally, noise has been treated as a disturbance to a system, and therefore we remove the noise using a filter.
In SR, we take a different approach that we give a positive role to the noise to increase the system response.
For example, some creature use noise to detect a signal buried in noise.
If we can use this mechanism, we may be able to detect a sub-threshold signal that can not be detected by an ordinary receiver.
In this paper, we will present SR and its application to a communication system, with some reference to our research results.
Keyword (in Japanese) (See Japanese page) 
(in English) Stochastic resonance (SR) / sub-threshold signal / noise enhanced / noise aided / noise assisted / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 396, RCS2017-297, pp. 167-174, Jan. 2018.
Paper # RCS2017-297 
Date of Issue 2018-01-15 (IT, SIP, RCS) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Committee SIP IT RCS  
Conference Date 2018-01-22 - 2018-01-23 
Place (in Japanese) (See Japanese page) 
Place (in English) Sunport Hall Takamatsu 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To RCS 
Conference Code 2018-01-SIP-IT-RCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Stochastic resonance and its applicability to communication systems 
Sub Title (in English)  
Keyword(1) Stochastic resonance (SR)  
Keyword(2) sub-threshold signal  
Keyword(3) noise enhanced  
Keyword(4) noise aided  
Keyword(5) noise assisted  
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Keyword(7)  
Keyword(8)  
1st Author's Name Takaya Yamazato  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Yukihiro Tadokoro  
2nd Author's Affiliation Toyota Central R&D Labs., Inc. (Toyota Central R&D Labs.,)
3rd Author's Name Hiroya Tanaka  
3rd Author's Affiliation Toyota Central R&D Labs., Inc. (Toyota Central R&D Labs.,)
4th Author's Name Hiroya Tanaka  
4th Author's Affiliation Nagoya University (Nagoya Univ.)
5th Author's Name Shintaro Arai  
5th Author's Affiliation Okayama University of Science (Okayama Univ of Science)
6th Author's Name Yasuo Nakashima  
6th Author's Affiliation Nagoya University (Nagoya Univ.)
7th Author's Name Shintaro Hiraoka  
7th Author's Affiliation Nagoya University (Nagoya Univ.)
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Speaker
Date Time 2018-01-22 16:45:00 
Presentation Time 50 
Registration for RCS 
Paper # IEICE-IT2017-83,IEICE-SIP2017-91,IEICE-RCS2017-297 
Volume (vol) IEICE-117 
Number (no) no.394(IT), no.395(SIP), no.396(RCS) 
Page pp.167-174 
#Pages IEICE-8 
Date of Issue IEICE-IT-2018-01-15,IEICE-SIP-2018-01-15,IEICE-RCS-2018-01-15 


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