We propose a novel algorithm of counting indistinguishable objects by a collection of sensors. The information on multiple counting is recovered from the ...
PDF | We propose a novel algorithm of counting indistinguishable objects by a collection of sensors. The information on multiple counting is recovered.
We propose a novel algorithm of counting indistinguishable objects by a collection of sensors. The information on multiple counting is recovered from the ...
“Noise is good” in that, by measuring randomly perturbed signals, we gather additional information, as compared to the situation when the mea- surements are ...
We propose a novel algorithm for counting N indistinguishable objects, called targets, by a collection of sensors.
Jun 12, 2021 · We present a stochastic model of the sensor time response, which takes into account the coupling of adsorption–desorption and MT processes.
We propose a novel algorithm of counting indistinguishable objects by a collection of sensors. The information on multiple counting is recovered from.
May 26, 2017 · We present evidence that adaptive stochastic resonance based on the autocorrelation of the sensor output may be a fundamental principle in neuronal systems.
May 29, 2009 · Stochastic resonance is said to be observed when increases in levels of unpredictable fluctuations—e.g., random noise—cause an increase in a ...
Stochastic resonance (SR) typically manifests in nonlinear systems, wherein the detection of a weak signal is bolstered by the addition of noise.
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