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Two methods of realizing aperiodic stochastic resonance (ASR) by adding noise and tuning system parameters in a bistable system, after a scale transformation, can be compared in a real parameter space. In this space, the resonance point of ASR via adding noise denotes the extremum of a line segment, whereas the method of tuning system parameters presents(More)
From the point of information theory, the baseband binary pulse amplitude modulated (PAM) signals transmission, via tuning the nonlinear receiver’s parameters, is studied over an additive white Gaussian noise (AWGN) channel. It is demonstrated that the channel capacity of baseband binary communication systems, for a given signal added noise, can be(More)
In the presence of multiplicative and additive colored noise with colored cross-correlation, a method of parameter-induced aperiodic stochastic resonance (SR) for baseband binary pulse amplitude modulated (PAM) signal processing is investigated in detail. Firstly, the dynamic bit error rate (DBER) is defined by the nonstationary solution of the(More)
Nonlinear bistable double-well stochastic resonance systems have been successfully used for one-dimensional signal processing, based on the concept of parameter-tuning stochastic resonance. This paper investigates the applications of parameter-tuning stochastic resonance in image processing. First, a two-dimensional stochastic resonance system is introduced(More)
Applications of Two-dimensional Parameter-induced Stochastic Resonance in Nonlinear Image Processing Bohou Xu1 Summary Stochastic resonance is a mechanical concept and may be used to image processing. This paper aims to develop an elementary theory of two-dimensional parameter-induced stochastic resonance (PSR) in order to contribute a new approach to(More)
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