AustralieFrV1, Ncbi, Merge, bibRecord, 004F40

Exploiting vibrational resonance in weak-signal detection.

Identifieur interne : 004F40 ( Ncbi/Merge ); précédent : 004F39; suivant : 004F41

Exploiting vibrational resonance in weak-signal detection.

Auteurs : Yuhao Ren [République populaire de Chine] ; Yan Pan [République populaire de Chine] ; Fabing Duan [République populaire de Chine] ; François Chapeau-Blondeau [France] ; Derek Abbott [Australie]

Source :

Physical review. E [ 2470-0053 ] ; 2017.

RBID : pubmed:28950458

Abstract

In this paper, we investigate the first exploitation of the vibrational resonance (VR) effect to detect weak signals in the presence of strong background noise. By injecting a series of sinusoidal interference signals of the same amplitude but with different frequencies into a generalized correlation detector, we show that the detection probability can be maximized at an appropriate interference amplitude. Based on a dual-Dirac probability density model, we compare the VR method with the stochastic resonance approach via adding dichotomous noise. The compared results indicate that the VR method can achieve a higher detection probability for a wider variety of noise distributions.

DOI: 10.1103/PhysRevE.96.022141
PubMed: 28950458

Links toward previous steps (curation, corpus...)

to stream PubMed, to step Corpus: 000760
to stream PubMed, to step Curation: 000757
to stream PubMed, to step Checkpoint: 000757

Links to Exploration step

pubmed:28950458

Le document en format XML

<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Exploiting vibrational resonance in weak-signal detection.</title>
<author><name sortKey="Ren, Yuhao" sort="Ren, Yuhao" uniqKey="Ren Y" first="Yuhao" last="Ren">Yuhao Ren</name>
<affiliation wicri:level="1"><nlm:affiliation>Institute of Complexity Science, Qingdao University, Qingdao 266071, People's Republic of China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Institute of Complexity Science, Qingdao University, Qingdao 266071</wicri:regionArea>
<wicri:noRegion>Qingdao 266071</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Pan, Yan" sort="Pan, Yan" uniqKey="Pan Y" first="Yan" last="Pan">Yan Pan</name>
<affiliation wicri:level="1"><nlm:affiliation>Institute of Complexity Science, Qingdao University, Qingdao 266071, People's Republic of China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Institute of Complexity Science, Qingdao University, Qingdao 266071</wicri:regionArea>
<wicri:noRegion>Qingdao 266071</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Duan, Fabing" sort="Duan, Fabing" uniqKey="Duan F" first="Fabing" last="Duan">Fabing Duan</name>
<affiliation wicri:level="1"><nlm:affiliation>Institute of Complexity Science, Qingdao University, Qingdao 266071, People's Republic of China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Institute of Complexity Science, Qingdao University, Qingdao 266071</wicri:regionArea>
<wicri:noRegion>Qingdao 266071</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Chapeau Blondeau, Francois" sort="Chapeau Blondeau, Francois" uniqKey="Chapeau Blondeau F" first="François" last="Chapeau-Blondeau">François Chapeau-Blondeau</name>
<affiliation wicri:level="4"><nlm:affiliation>Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS), Université d'Angers, 62 avenue Notre Dame du Lac, 49000 Angers, France.</nlm:affiliation>
<country xml:lang="fr">France</country>
<wicri:regionArea>Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS), Université d'Angers, 62 avenue Notre Dame du Lac, 49000 Angers</wicri:regionArea>
<wicri:noRegion>49000 Angers</wicri:noRegion>
<orgName type="university">Université d'Angers</orgName>
<placeName><settlement type="city">Angers</settlement>
<region type="region" nuts="2">Pays de la Loire</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Abbott, Derek" sort="Abbott, Derek" uniqKey="Abbott D" first="Derek" last="Abbott">Derek Abbott</name>
<affiliation wicri:level="1"><nlm:affiliation>Centre for Biomedical Engineering (CBME) and School of Electrical and Electronic Engineering, University of Adelaide, SA 5005, Australia.</nlm:affiliation>
<country xml:lang="fr">Australie</country>
<wicri:regionArea>Centre for Biomedical Engineering (CBME) and School of Electrical and Electronic Engineering, University of Adelaide, SA 5005</wicri:regionArea>
<wicri:noRegion>SA 5005</wicri:noRegion>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">PubMed</idno>
<date when="2017">2017</date>
<idno type="RBID">pubmed:28950458</idno>
<idno type="pmid">28950458</idno>
<idno type="doi">10.1103/PhysRevE.96.022141</idno>
<idno type="wicri:Area/PubMed/Corpus">000760</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000760</idno>
<idno type="wicri:Area/PubMed/Curation">000757</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000757</idno>
<idno type="wicri:Area/PubMed/Checkpoint">000757</idno>
<idno type="wicri:explorRef" wicri:stream="Checkpoint" wicri:step="PubMed">000757</idno>
<idno type="wicri:Area/Ncbi/Merge">004F40</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en">Exploiting vibrational resonance in weak-signal detection.</title>
<author><name sortKey="Ren, Yuhao" sort="Ren, Yuhao" uniqKey="Ren Y" first="Yuhao" last="Ren">Yuhao Ren</name>
<affiliation wicri:level="1"><nlm:affiliation>Institute of Complexity Science, Qingdao University, Qingdao 266071, People's Republic of China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Institute of Complexity Science, Qingdao University, Qingdao 266071</wicri:regionArea>
<wicri:noRegion>Qingdao 266071</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Pan, Yan" sort="Pan, Yan" uniqKey="Pan Y" first="Yan" last="Pan">Yan Pan</name>
<affiliation wicri:level="1"><nlm:affiliation>Institute of Complexity Science, Qingdao University, Qingdao 266071, People's Republic of China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Institute of Complexity Science, Qingdao University, Qingdao 266071</wicri:regionArea>
<wicri:noRegion>Qingdao 266071</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Duan, Fabing" sort="Duan, Fabing" uniqKey="Duan F" first="Fabing" last="Duan">Fabing Duan</name>
<affiliation wicri:level="1"><nlm:affiliation>Institute of Complexity Science, Qingdao University, Qingdao 266071, People's Republic of China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Institute of Complexity Science, Qingdao University, Qingdao 266071</wicri:regionArea>
<wicri:noRegion>Qingdao 266071</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Chapeau Blondeau, Francois" sort="Chapeau Blondeau, Francois" uniqKey="Chapeau Blondeau F" first="François" last="Chapeau-Blondeau">François Chapeau-Blondeau</name>
<affiliation wicri:level="4"><nlm:affiliation>Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS), Université d'Angers, 62 avenue Notre Dame du Lac, 49000 Angers, France.</nlm:affiliation>
<country xml:lang="fr">France</country>
<wicri:regionArea>Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS), Université d'Angers, 62 avenue Notre Dame du Lac, 49000 Angers</wicri:regionArea>
<wicri:noRegion>49000 Angers</wicri:noRegion>
<orgName type="university">Université d'Angers</orgName>
<placeName><settlement type="city">Angers</settlement>
<region type="region" nuts="2">Pays de la Loire</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Abbott, Derek" sort="Abbott, Derek" uniqKey="Abbott D" first="Derek" last="Abbott">Derek Abbott</name>
<affiliation wicri:level="1"><nlm:affiliation>Centre for Biomedical Engineering (CBME) and School of Electrical and Electronic Engineering, University of Adelaide, SA 5005, Australia.</nlm:affiliation>
<country xml:lang="fr">Australie</country>
<wicri:regionArea>Centre for Biomedical Engineering (CBME) and School of Electrical and Electronic Engineering, University of Adelaide, SA 5005</wicri:regionArea>
<wicri:noRegion>SA 5005</wicri:noRegion>
</affiliation>
</author>
</analytic>
<series><title level="j">Physical review. E</title>
<idno type="eISSN">2470-0053</idno>
<imprint><date when="2017" type="published">2017</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><textClass></textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">In this paper, we investigate the first exploitation of the vibrational resonance (VR) effect to detect weak signals in the presence of strong background noise. By injecting a series of sinusoidal interference signals of the same amplitude but with different frequencies into a generalized correlation detector, we show that the detection probability can be maximized at an appropriate interference amplitude. Based on a dual-Dirac probability density model, we compare the VR method with the stochastic resonance approach via adding dichotomous noise. The compared results indicate that the VR method can achieve a higher detection probability for a wider variety of noise distributions.</div>
</front>
</TEI>
<pubmed><MedlineCitation Status="In-Data-Review" Owner="NLM"><PMID Version="1">28950458</PMID>
<DateCreated><Year>2017</Year>
<Month>09</Month>
<Day>27</Day>
</DateCreated>
<DateRevised><Year>2017</Year>
<Month>09</Month>
<Day>27</Day>
</DateRevised>
<Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">2470-0053</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>96</Volume>
<Issue>2-1</Issue>
<PubDate><Year>2017</Year>
<Month>Aug</Month>
</PubDate>
</JournalIssue>
<Title>Physical review. E</Title>
<ISOAbbreviation>Phys Rev E</ISOAbbreviation>
</Journal>
<ArticleTitle>Exploiting vibrational resonance in weak-signal detection.</ArticleTitle>
<Pagination><MedlinePgn>022141</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.1103/PhysRevE.96.022141</ELocationID>
<Abstract><AbstractText>In this paper, we investigate the first exploitation of the vibrational resonance (VR) effect to detect weak signals in the presence of strong background noise. By injecting a series of sinusoidal interference signals of the same amplitude but with different frequencies into a generalized correlation detector, we show that the detection probability can be maximized at an appropriate interference amplitude. Based on a dual-Dirac probability density model, we compare the VR method with the stochastic resonance approach via adding dichotomous noise. The compared results indicate that the VR method can achieve a higher detection probability for a wider variety of noise distributions.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Ren</LastName>
<ForeName>Yuhao</ForeName>
<Initials>Y</Initials>
<AffiliationInfo><Affiliation>Institute of Complexity Science, Qingdao University, Qingdao 266071, People's Republic of China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Pan</LastName>
<ForeName>Yan</ForeName>
<Initials>Y</Initials>
<AffiliationInfo><Affiliation>Institute of Complexity Science, Qingdao University, Qingdao 266071, People's Republic of China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Duan</LastName>
<ForeName>Fabing</ForeName>
<Initials>F</Initials>
<AffiliationInfo><Affiliation>Institute of Complexity Science, Qingdao University, Qingdao 266071, People's Republic of China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Chapeau-Blondeau</LastName>
<ForeName>François</ForeName>
<Initials>F</Initials>
<AffiliationInfo><Affiliation>Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS), Université d'Angers, 62 avenue Notre Dame du Lac, 49000 Angers, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Abbott</LastName>
<ForeName>Derek</ForeName>
<Initials>D</Initials>
<AffiliationInfo><Affiliation>Centre for Biomedical Engineering (CBME) and School of Electrical and Electronic Engineering, University of Adelaide, SA 5005, Australia.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2017</Year>
<Month>08</Month>
<Day>21</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>United States</Country>
<MedlineTA>Phys Rev E</MedlineTA>
<NlmUniqueID>101676019</NlmUniqueID>
<ISSNLinking>2470-0045</ISSNLinking>
</MedlineJournalInfo>
</MedlineCitation>
<PubmedData><History><PubMedPubDate PubStatus="received"><Year>2016</Year>
<Month>12</Month>
<Day>29</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="entrez"><Year>2017</Year>
<Month>9</Month>
<Day>28</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed"><Year>2017</Year>
<Month>9</Month>
<Day>28</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline"><Year>2017</Year>
<Month>9</Month>
<Day>28</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>ppublish</PublicationStatus>
<ArticleIdList><ArticleId IdType="pubmed">28950458</ArticleId>
<ArticleId IdType="doi">10.1103/PhysRevE.96.022141</ArticleId>
</ArticleIdList>
</PubmedData>
</pubmed>
<affiliations><list><country><li>Australie</li>
<li>France</li>
<li>République populaire de Chine</li>
</country>
<region><li>Pays de la Loire</li>
</region>
<settlement><li>Angers</li>
</settlement>
<orgName><li>Université d'Angers</li>
</orgName>
</list>
<tree><country name="République populaire de Chine"><noRegion><name sortKey="Ren, Yuhao" sort="Ren, Yuhao" uniqKey="Ren Y" first="Yuhao" last="Ren">Yuhao Ren</name>
</noRegion>
<name sortKey="Duan, Fabing" sort="Duan, Fabing" uniqKey="Duan F" first="Fabing" last="Duan">Fabing Duan</name>
<name sortKey="Pan, Yan" sort="Pan, Yan" uniqKey="Pan Y" first="Yan" last="Pan">Yan Pan</name>
</country>
<country name="France"><region name="Pays de la Loire"><name sortKey="Chapeau Blondeau, Francois" sort="Chapeau Blondeau, Francois" uniqKey="Chapeau Blondeau F" first="François" last="Chapeau-Blondeau">François Chapeau-Blondeau</name>
</region>
</country>
<country name="Australie"><noRegion><name sortKey="Abbott, Derek" sort="Abbott, Derek" uniqKey="Abbott D" first="Derek" last="Abbott">Derek Abbott</name>
</noRegion>
</country>
</tree>
</affiliations>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Wicri/Asie/explor/AustralieFrV1/Data/Ncbi/Merge

HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 004F40 | SxmlIndent | more

HfdSelect -h $EXPLOR_AREA/Data/Ncbi/Merge/biblio.hfd -nk 004F40 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Wicri/Asie
   |area=    AustralieFrV1
   |flux=    Ncbi
   |étape=   Merge
   |type=    RBID
   |clé=     pubmed:28950458
   |texte=   Exploiting vibrational resonance in weak-signal detection.
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/Ncbi/Merge/RBID.i   -Sk "pubmed:28950458" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/Ncbi/Merge/biblio.hfd   \
       | NlmPubMed2Wicri -a AustralieFrV1

This area was generated with Dilib version V0.6.33.
Data generation: Tue Dec 5 10:43:12 2017. Site generation: Tue Mar 5 14:07:20 2024

	Serveur d'exploration sur les relations entre la France et l'Australie
	Attention, ce site est en cours de développement ! Attention, site généré par des moyens informatiques à partir de corpus bruts. Les informations ne sont donc pas validées.

Serveur d'exploration sur les relations entre la France et l'Australie

Exploiting vibrational resonance in weak-signal detection.

Exploiting vibrational resonance in weak-signal detection.

Source :

Abstract

Links toward previous steps (curation, corpus...)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

Pour générer des pages wiki