Double-maximum enhancement of signal-to-noise ratio gain via stochastic resonance and vibrational resonance.
Identifieur interne : 003A14 ( Main/Exploration ); précédent : 003A13; suivant : 003A15Double-maximum enhancement of signal-to-noise ratio gain via stochastic resonance and vibrational resonance.
Auteurs : Fabing Duan [République populaire de Chine] ; François Chapeau-Blondeau [France] ; Derek Abbott [Australie]Source :
- Physical review. E, Statistical, nonlinear, and soft matter physics [ 1550-2376 ] ; 2014.
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Abstract
This paper studies the signal-to-noise ratio (SNR) gain of a parallel array of nonlinear elements that transmits a common input composed of a periodic signal and external noise. Aiming to further enhance the SNR gain, each element is injected with internal noise components or high-frequency sinusoidal vibrations. We report that the SNR gain exhibits two maxima at different values of the internal noise level or of the sinusoidal vibration amplitude. For the addition of internal noise to an array of threshold-based elements, the condition for occurrence of stochastic resonance is analytically investigated in the limit of weak signals. Interestingly, when the internal noise components are replaced by high-frequency sinusoidal vibrations, the SNR gain displays the vibrational multiresonance phenomenon. In both considered cases, there are certain regions of the internal noise intensity or the sinusoidal vibration amplitude wherein the achieved maximal SNR gain can be considerably beyond unity for a weak signal buried in non-Gaussian external noise. Due to the easy implementation of sinusoidal vibration modulation, this approach is potentially useful for improving the output SNR in an array of nonlinear devices.
DOI: 10.1103/PhysRevE.90.022134
PubMed: 25215715
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E, Statistical, nonlinear, and soft matter physics</title><idno type="eISSN">1550-2376</idno><imprint><date when="2014" type="published">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Nonlinear Dynamics</term><term>Signal-To-Noise Ratio</term><term>Stochastic Processes</term><term>Vibration</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Dynamique non linéaire</term><term>Processus stochastiques</term><term>Rapport signal-bruit</term><term>Vibration</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Nonlinear Dynamics</term><term>Signal-To-Noise Ratio</term><term>Stochastic Processes</term><term>Vibration</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Dynamique non linéaire</term><term>Processus stochastiques</term><term>Rapport signal-bruit</term><term>Vibration</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This paper studies the signal-to-noise ratio (SNR) gain of a parallel array of nonlinear elements that transmits a common input composed of a periodic signal and external noise. Aiming to further enhance the SNR gain, each element is injected with internal noise components or high-frequency sinusoidal vibrations. We report that the SNR gain exhibits two maxima at different values of the internal noise level or of the sinusoidal vibration amplitude. For the addition of internal noise to an array of threshold-based elements, the condition for occurrence of stochastic resonance is analytically investigated in the limit of weak signals. Interestingly, when the internal noise components are replaced by high-frequency sinusoidal vibrations, the SNR gain displays the vibrational multiresonance phenomenon. In both considered cases, there are certain regions of the internal noise intensity or the sinusoidal vibration amplitude wherein the achieved maximal SNR gain can be considerably beyond unity for a weak signal buried in non-Gaussian external noise. Due to the easy implementation of sinusoidal vibration modulation, this approach is potentially useful for improving the output SNR in an array of nonlinear devices.</div></front></TEI><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="Duan, Fabing" sort="Duan, Fabing" uniqKey="Duan F" first="Fabing" last="Duan">Fabing Duan</name></noRegion></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)
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