Stochastic resonance and suprathreshold stochastic resonance are nonlinear phenomena that yield a non-monotonic variation of system performance measures such as SNR gain, with respect to input noise variance [1, 2]. There exists an optimal strength of the added noise at which the performance measure is maximised. In this work, an analytical method is proposed to find the optimal input noise variance to be added to the array of quantizers in an SSR detector to optimize the performance. The theory is verified experimentally for different noise environments and added SSR noise
A subthreshold signal may be detected if noise is added to the data. We study a simple model, consis...
An array of N comparators subject to the same input signal and independent additive noise, with the ...
Published online 7 January 2015Suprathreshold stochastic resonance is a form of noise-enhanced proce...
Stochastic resonance and suprathreshold stochastic resonance are nonlinear phenomena that yield a no...
In this paper we introduce a nonlinear detector based on the phenomenon of suprathreshold stochastic...
In this paper we introduce a nonlinear detector based on the phenomenon of suprathreshold stochastic...
This paper presents the design and performance analysis of a detector based on suprathreshold stocha...
This paper presents a study of the phenomenon of stochastic resonance in quantizers, and discusses t...
Stochastic resonance (SR) is a phenomenon whereby the signal transmission or signal processing throu...
This paper considers the stochastic resonance (SR) effect in the two hypotheses signal detection pro...
The aim of this paper is to show that the nonlinear effect known as stochastic resonance, which corr...
Abstract: A subthreshold signal may be detected if noise is added to the data. The noisy signal must...
Stochastic Resonance (SR) is a nonlinear phenomenon known in physics that has attracted recent inter...
Consider an array of parallel comparators (threshold devices) receiving the same input signal, but s...
This paper develops the mathematical framework to analyze the stochastic resonance (SR) effect in bi...
A subthreshold signal may be detected if noise is added to the data. We study a simple model, consis...
An array of N comparators subject to the same input signal and independent additive noise, with the ...
Published online 7 January 2015Suprathreshold stochastic resonance is a form of noise-enhanced proce...
Stochastic resonance and suprathreshold stochastic resonance are nonlinear phenomena that yield a no...
In this paper we introduce a nonlinear detector based on the phenomenon of suprathreshold stochastic...
In this paper we introduce a nonlinear detector based on the phenomenon of suprathreshold stochastic...
This paper presents the design and performance analysis of a detector based on suprathreshold stocha...
This paper presents a study of the phenomenon of stochastic resonance in quantizers, and discusses t...
Stochastic resonance (SR) is a phenomenon whereby the signal transmission or signal processing throu...
This paper considers the stochastic resonance (SR) effect in the two hypotheses signal detection pro...
The aim of this paper is to show that the nonlinear effect known as stochastic resonance, which corr...
Abstract: A subthreshold signal may be detected if noise is added to the data. The noisy signal must...
Stochastic Resonance (SR) is a nonlinear phenomenon known in physics that has attracted recent inter...
Consider an array of parallel comparators (threshold devices) receiving the same input signal, but s...
This paper develops the mathematical framework to analyze the stochastic resonance (SR) effect in bi...
A subthreshold signal may be detected if noise is added to the data. We study a simple model, consis...
An array of N comparators subject to the same input signal and independent additive noise, with the ...
Published online 7 January 2015Suprathreshold stochastic resonance is a form of noise-enhanced proce...