CN110705128A - Parameter-adjustable stochastic resonance simulation system - Google Patents
Parameter-adjustable stochastic resonance simulation system Download PDFInfo
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- CN110705128A CN110705128A CN201911024836.4A CN201911024836A CN110705128A CN 110705128 A CN110705128 A CN 110705128A CN 201911024836 A CN201911024836 A CN 201911024836A CN 110705128 A CN110705128 A CN 110705128A
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Abstract
The invention discloses a parameter-adjustable stochastic resonance simulation system, which comprises: the stochastic resonance parameter generation module is used for generating the stochastic resonance system optimal parameter of any frequency signal and inputting the stochastic resonance system optimal parameter into the stochastic resonance simulation module; the random resonance simulation module adopts a bistable system to realize random resonance simulation; the visualization module is used for automatically drawing various curves generated in the stochastic resonance simulation process; and the curve driving module is used for driving parameter change, and after the relation is established between the curve driving module and each element in the visualization module, the parameters can be changed within a specified range, so that a simulation analysis algorithm or a simulation analysis method can be driven to calculate and solve different parameters. The invention can adaptively match the characteristics of signals and noise, has good robustness and can more intuitively realize the display of the whole stochastic resonance simulation process.
Description
Technical Field
The invention relates to the field of stochastic resonance, in particular to a stochastic resonance simulation system with adjustable parameters.
Background
In communication systems and signal processing systems, signal-to-noise ratio is an important indicator of system performance. The research finds that: the signal can be pre-processed by stochastic resonance to improve the signal-to-noise ratio. Stochastic resonance is a nonlinear phenomenon in which a weak periodic signal is caused to act in cooperation with a nonlinear system by taking noise as a medium, and when some matching exists among an input signal, the noise and the nonlinear system, the noise capability is transferred to signal energy, so that the output signal-to-noise ratio is greater than the input signal-to-noise ratio, and the signal can be enhanced by using the noise.
The selection of the stochastic resonance simulation system parameters plays a decisive role in the goodness and badness of the stochastic resonance method. The existing stochastic resonance system basically adopts a mode of artificially and subjectively selecting parameters in the parameter selection process or only carrying out self-adaptive optimization on a single parameter, so that the optimal value of the parameter cannot be accurately positioned, and the application of stochastic resonance is restricted.
Disclosure of Invention
In order to solve the problems, the invention provides a parameter-adjustable stochastic resonance simulation system.
In order to achieve the purpose, the invention adopts the technical scheme that:
a parametric stochastic resonance simulation system, comprising:
the stochastic resonance parameter generation module is used for generating the stochastic resonance system optimal parameter of any frequency signal and inputting the stochastic resonance system optimal parameter into the stochastic resonance simulation module;
the random resonance simulation module adopts a bistable system to realize random resonance simulation;
the visualization module is used for automatically drawing various curves generated in the stochastic resonance simulation process;
the curve driving module is used for driving parameter change, and after the relation is established between the curve driving module and each element in the visualization module, the curve driving module can change the parameters within a specified range, so that a simulation analysis algorithm or a simulation analysis method can be driven to calculate and solve different parameters;
the virtual parameter module is a logic unit of a target which is inserted into various curves and can directly obtain corresponding results or information; the curve driving module feeds back a result to the virtual parameter module by circularly executing a simulation analysis algorithm or a simulation analysis method, and the virtual parameter module receives the result and automatically displays data;
and the central processing unit is used for coordinating the work of the modules.
Further, the stochastic resonance parameter generation module deduces the optimal parameter of the stochastic resonance system corresponding to the reference signal by utilizing the relationship between the low-frequency reference periodic signal frequency matching Kramers transition rate and the maximized output signal-to-noise ratio; and then, deriving the optimal parameters of the stochastic resonance system of the random frequency signals according to the scale transformation relation of any frequency.
Further, the stochastic resonance simulation module adaptively adjusts parameters of a stochastic resonance model of the bistable system based on an artificial fish swarm algorithm to realize stochastic resonance simulation.
Further, still include:
and the curve comparison module is used for finishing reconstruction comparison of the selected curves, redrawing the other curve graph by taking the drawing standard of one curve graph as a reference during reconstruction, and drawing the two curve graphs in the same coordinate system by using different colors.
Further, also includes
And the human-computer interaction module is used for inputting various control commands and frequency signals and supporting a direct frequency signal input mode and an indirect frequency information input mode.
Further, the indirect frequency information input mode comprises a text input mode and a picture input module, and a built-in conversion module is used for converting the received text information and picture information into standard frequency information.
The invention realizes the generation and enhancement of stochastic resonance by optimizing bistable system parameters or coupling bistable system control variables, can adaptively match the characteristics of signals and noise, has good robustness, and can more intuitively realize the display of the whole stochastic resonance simulation process.
Drawings
Fig. 1 is a system block diagram of a stochastic resonance simulation system with adjustable parameters according to an embodiment of the present invention.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that variations and modifications can be made by persons skilled in the art without departing from the spirit of the invention. All falling within the scope of the present invention.
A parametric stochastic resonance simulation system, comprising:
the system comprises a man-machine interaction module, a frequency information input module and a display module, wherein the man-machine interaction module is used for inputting various control commands and frequency signals and supporting a frequency signal direct input mode and a frequency information indirect input mode, the frequency information indirect input mode comprises a text input mode and a picture input module, and a conversion module is arranged in the frequency information indirect input mode and is used for converting received text information and picture information into standard frequency information;
the stochastic resonance parameter generation module is used for deducing the optimal parameter of the stochastic resonance system corresponding to the reference signal by utilizing the relationship between the frequency matching of the low-frequency reference periodic signal and the Kramers transition rate and the maximized output signal-to-noise ratio; then, deriving the optimal parameter of the stochastic resonance system of any frequency signal according to the scale transformation relational expression of any frequency, and inputting the optimal parameter of the stochastic resonance system into a stochastic resonance simulation module;
the stochastic resonance simulation module is used for adaptively adjusting parameters a and b of a stochastic resonance model of the bistable system based on an artificial fish swarm algorithm, or adaptively adjusting parameters of a coupling system and a coupling system of the coupling bistable system based on the artificial fish swarm algorithm, so as to realize stochastic resonance simulation;
the visualization module is used for automatically drawing various curves generated in the stochastic resonance simulation process;
the curve driving module is used for driving parameter change, and after the relation is established between the curve driving module and each element in the visualization module, the curve driving module can change the parameters within a specified range, so that a simulation analysis algorithm or a simulation analysis method can be driven to calculate and solve different parameters;
the virtual parameter module is a logic unit of a target which is inserted into various curves and can directly obtain corresponding results or information; the curve driving module feeds back a result to the virtual parameter module by circularly executing a simulation analysis algorithm or a simulation analysis method, and the virtual parameter module receives the result and automatically displays data;
the curve comparison module is used for finishing reconstruction comparison of the selected curve, redrawing another curve graph by taking the drawing standard of one curve graph as a reference during reconstruction, and drawing the two curve graphs in the same coordinate system by different colors;
and the central processing unit is used for coordinating the work of the modules and can adopt an ARM microprocessor.
In the embodiment, the bistable system comprises a bistable system and a coupling bistable system, which can be selected according to requirements, wherein the coupling bistable system is formed by nonlinear coupling of two single bistable systems, one bistable system is taken as a controlled system with fixed parameters, the other bistable system is taken as a control system with adjustable parameters, and stochastic resonance can be generated by adjusting the coupling coefficient and the parameters of the control system.
The foregoing description of specific embodiments of the present invention has been presented. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes or modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention. The embodiments and features of the embodiments of the present application may be combined with each other arbitrarily without conflict.
Claims (7)
1. A stochastic resonance simulation system with adjustable parameters is characterized in that: the method comprises the following steps:
the stochastic resonance parameter generation module is used for generating the stochastic resonance system optimal parameter of any frequency signal and inputting the stochastic resonance system optimal parameter into the stochastic resonance simulation module;
the random resonance simulation module adopts a bistable system to realize random resonance simulation;
the visualization module is used for automatically drawing various curves generated in the stochastic resonance simulation process;
the curve driving module is used for driving parameter change, and after the relation is established between the curve driving module and each element in the visualization module, the curve driving module can change the parameters within a specified range, so that a simulation analysis algorithm or a simulation analysis method can be driven to calculate and solve different parameters;
the virtual parameter module is a logic unit of a target which is inserted into various curves and can directly obtain corresponding results or information; the curve driving module feeds back a result to the virtual parameter module by circularly executing a simulation analysis algorithm or a simulation analysis method, and the virtual parameter module receives the result and automatically displays data;
and the central processing unit is used for coordinating the work of the modules.
2. A parametric stochastic resonance simulation system as claimed in claim 1 wherein: the stochastic resonance parameter generation module deduces the optimal parameter of the stochastic resonance system corresponding to the reference signal by utilizing the relationship between the frequency matching of the low-frequency reference periodic signal and the Kramers transition rate and the maximized output signal-to-noise ratio; and then, deriving the optimal parameters of the stochastic resonance system of the random frequency signals according to the scale transformation relation of any frequency.
3. A parametric stochastic resonance simulation system as claimed in claim 1 wherein: the stochastic resonance simulation module adaptively adjusts parameters of a stochastic resonance model of the bistable system based on an artificial fish swarm algorithm to realize stochastic resonance simulation.
4. A parametric stochastic resonance simulation system as claimed in claim 1 wherein: further comprising:
and the curve comparison module is used for finishing reconstruction comparison of the selected curves, redrawing the other curve graph by taking the drawing standard of one curve graph as a reference during reconstruction, and drawing the two curve graphs in the same coordinate system by using different colors.
5. A parametric stochastic resonance simulation system as claimed in claim 1 wherein: also comprises
And the human-computer interaction module is used for inputting various control commands and frequency signals and supporting a direct frequency signal input mode and an indirect frequency information input mode.
6. A parametric stochastic resonance simulation system as claimed in claim 5 wherein: the indirect frequency information input mode comprises a text input mode and a picture input module, and the built-in conversion module is used for converting the received text information and the received picture information into standard frequency information.
7. A parametric stochastic resonance simulation system as claimed in claim 1 wherein: the bistable system comprises a single bistable system and a coupling bistable system, and can be selected according to requirements.
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| CN111506982A (en) * | 2020-03-18 | 2020-08-07 | 江铃汽车股份有限公司 | Motor noise optimization method |
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