Results 41 to 50 of about 139,732 (335)
Applied SciencesThe classical bistable stochastic resonance algorithm has an inherent output saturation defect that restricts the amplitude of the output signal. This paper examines the causes of this phenomenon and its negative impact on the detection of weak signals ...
Shuqin Sun +4 more
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Spatial stochastic resonance in 1D Ising systems
, 1999 The 1D Ising model is analytically studied in a spatially periodic and oscillatory external magnetic field using the transfer-matrix method. For low enough magnetic field intensities the correlation between the external magnetic field and the response in
Erzsébet Ravasz +17 more
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What is stochastic resonance? Definitions, misconceptions, debates, and its relevance to biology. [PDF]
PLoS Computational Biology, 2009 Stochastic resonance is said to be observed when increases in levels of unpredictable fluctuations--e.g., random noise--cause an increase in a metric of the quality of signal transmission or detection performance, rather than a decrease.
Mark D McDonnell, Derek Abbott
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Fault Diagnosis of Rotating Machinery Based on Adaptive Stochastic Resonance and AMD-EEMD
Shock and Vibration, 2016 An adaptive stochastic resonance and analytical mode decomposition-ensemble empirical mode decomposition (AMD-EEMD) method is proposed for fault diagnosis of rotating machinery in this paper.
Peiming Shi, Cuijiao Su, Dongying Han
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Stochastic Resonance Can Drive Adaptive Physiological Processes [PDF]
, 2009 Stochastic resonance (SR) is a concept from the physics and engineering communities that has applicability to both systems physiology and other living systems. In this paper, it will be argued that stochastic resonance plays a role in driving behavior in
Bradly J. Alicea
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Intrinsic noise induced resonance in presence of sub-threshold signal in Brusselator
, 2011 In a system of non-linear chemical reactions called the Brusselator, we show that {\it intrinsic noise} can be regulated to drive it to exhibit resonance in the presence of a sub-threshold signal.
Bartholomay A. F. +4 more
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Noise-enhanced computation in a model of a cortical column [PDF]
, 2005 Varied sensory systems use noise in order to enhance detection of weak signals. It has been conjectured in the literature that this effect, known as stochastic resonance, may take place in central cognitive processes such as the memory retrieval of ...
Gerstner, Wulfram, Mayor, Julien
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Advanced Functional Materials, EarlyView.This study presents a new hole transporting material (HTM) mechanism for self‐assembled monolayers in near‐infrared organic photodetectors. The formation of zwitterions induces a strong electric field that significantly increases the work function of HTM‐coated indium tin oxide substrates. The devices exhibit low dark current and noise, along with high
Jiyoung Shin +9 more
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Jixie qiangdu, 2021 Adjusting the value of nonlinear system parameters will affect the output Signal-to-Noise Ratio（ SNR）,so Signalto-Noise Ratio（ SNR） was used as the output evaluation index of stochastic resonance.
QUAN ZhenYa, ZHANG XueLiang
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Nonstationary Stochastic Resonance in a Single Neuron-Like System
, 1998 Stochastic resonance holds much promise for the detection of weak signals in the presence of relatively loud noise. Following the discovery of nondynamical and of aperiodic stochastic resonance, it was recently shown that the phenomenon can manifest ...
A. Longtin +33 more
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