Frequency Balance Influence to Signal-to-Noise Ratio of Bistable Stochastic Resonance in Signal Smart Regression Recognition Procedure

Zi Kai Zhao; Guo Hua Hui; Yu Quan Chen

doi:10.4028/www.scientific.net/AMR.424-425.352

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 424-425Frequency Balance Influence to Signal-to-Noise...

Frequency Balance Influence to Signal-to-Noise Ratio of Bistable Stochastic Resonance in Signal Smart Regression Recognition Procedure

Abstract:

Systematic frequency holds great influence to bistable stochastic resonance (BSR) model. In this paper, frequency parameter f0 was investigated to explore the parameter-induced bistable stochastic resonance characteristic according to the former research results. Within a variable frequency parameter f0 range (from 0.01 to 10), a systematic output stochastic resonance emerged with the value change of frequency parameter f0. Systematic output signal-to-noise ratio (SNR) curve shows that the variable frequency parameter f0 could induce stochastic resonance in real-time signal analysis field

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Periodical:

Advanced Materials Research (Volumes 424-425)

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352-354

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.424-425.352

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Online since:

January 2012

Authors:

Zi Kai Zhao, Guo Hua Hui, Yu Quan Chen

Keywords:

Frequency Parameter, Noise Intensity, Signal Characterization, Signal-to-Noise Ratio (SNR), Stochastic Resonance

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