Study On Parameters Selection Of Stochastic Resonance System And Its Application

Against the background of strong noise on signal detection is an important research direction in signal processing, which in the communications, electronics, physics and etc. have important applications. In recent years, stochastic resonance is applied in weak signal detection theory, which has made important progress. Stochastic resonance as a non-linear theory, compared to the traditional linear approach, it can not only separate the noise from signal, some part of noise energy can be also transformed into signal energy, so as to further enhance the output signal to noise ratio.At present, the structure of stochastic resonance parameters on the effects of stochastic resonance effect of the discussion is still at a qualitative discussion, of the experience or direct simulation of comparison. This paper analyzed and studied the bistable stochastic resonance system parameters selection, which can effectively select the parameters of bistable stochastic resonance system to improve the output performance.On the traditional application of bistable stochastic resonance system, there are certain limitations. In this paper, studies on the big noise, high frequency and multi-signal detection are made, and how to improve them is discussed. In addition, some studies on two-dimensional images of the stochastic resonance are made, and for the improvement of visual effects, a modified program is induced.Bistable system simulation verifies the reasonableness and feasibility of the above-mentioned methods. Through these methods, stochastic resonance in signal detection and etc. is expected to be further applied.