Research and application of composite stochastic resonance in enhancement detection  

作　　者：高蕊 焦尚彬 薛琼婕 Rui Gao;Shangbin Jiao;Qiongjie Xue(School of Automation and Information Engineering,Xi'an University of Technology,Xi'an 710048,China;School of Electronic and Electrical Engineering,Baoji University of Arts and Sciences,Baoji 721016,China;Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing,Xi'an University of Technology,Xi'an 710048,China)

机构地区：[1]School of Automation and Information Engineering,Xi'an University of Technology,Xi'an 710048,China [2]School of Electronic and Electrical Engineering,Baoji University of Arts and Sciences,Baoji 721016,China [3]Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing,Xi'an University of Technology,Xi'an 710048,China

出　　处：《Chinese Physics B》2024年第1期264-273,共10页中国物理B（英文版）

基　　金：Project supported by the National Natural Science Foundation of China (Grant No.62371388);the Key Research and Development Projects in Shaanxi Province,China (Grant No.2023-YBGY-044)。

摘　　要：Aiming at the problem that the intermediate potential part of the traditional bistable stochastic resonance model cannot be adjusted independently, a new composite stochastic resonance(NCSR) model is proposed by combining the Woods–Saxon(WS) model and the improved piecewise bistable model. The model retains the characteristics of the independent parameters of WS model and the improved piecewise model has no output saturation, all the parameters in the new model have no coupling characteristics. Under α stable noise environment, the new model is used to detect periodic signal and aperiodic signal, the detection results indicate that the new model has higher noise utilization and better detection effect.Finally, the new model is applied to image denoising, the results showed that under the same conditions, the output peak signal-to-noise ratio(PSNR) and the correlation number of NCSR method is higher than that of other commonly used linear denoising methods and improved piecewise SR methods, the effectiveness of the new model is verified.

关 键 词：Woods–Saxon improved piecewise model composite stochastic resonance(SR) image denoising 

分 类 号：O324[理学—一般力学与力学基础]