Stochastic resonance in Schmitt trigger and its application towards weak signal detection

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Abstract This study explores stochastic resonance (SR) in a Schmitt trigger circuit and its application to weak signal detection. SR, a phenomenon where noise synchronizes with weak signals to enhance detectability, was demonstrated using a custom-designed bi-stable Schmitt trigger system. The circuit's bi-stability was validated through hysteresis curve analysis, confirming its suitability for SR studies. Experimental results revealed SR behavior by analyzing signal-to-noise ratio (SNR) responses to noise amplitude variations. Detection experiments were conducted to determine frequency and amplitude of damping sinusoidal pulses. Frequency detection proved effective, albeit with limitations at low frequencies, while amplitude detection faced challenges due to mathematical complexities. Nonetheless, the study highlights SR's potential for weak signal detection, with proposed enhancements to improve detection accuracy. This work underscores the adaptability of classical SR principles to practical detection systems and suggests future applications in advanced detection technologies, including quantum systems.
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Stochastic resonance in Schmitt trigger and its application towards weak signal detection | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Stochastic resonance in Schmitt trigger and its application towards weak signal detection Yoonkang Kim, Donghyuk Seo This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5821721/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This study explores stochastic resonance (SR) in a Schmitt trigger circuit and its application to weak signal detection. SR, a phenomenon where noise synchronizes with weak signals to enhance detectability, was demonstrated using a custom-designed bi-stable Schmitt trigger system. The circuit's bi-stability was validated through hysteresis curve analysis, confirming its suitability for SR studies. Experimental results revealed SR behavior by analyzing signal-to-noise ratio (SNR) responses to noise amplitude variations. Detection experiments were conducted to determine frequency and amplitude of damping sinusoidal pulses. Frequency detection proved effective, albeit with limitations at low frequencies, while amplitude detection faced challenges due to mathematical complexities. Nonetheless, the study highlights SR's potential for weak signal detection, with proposed enhancements to improve detection accuracy. This work underscores the adaptability of classical SR principles to practical detection systems and suggests future applications in advanced detection technologies, including quantum systems. Mathematical Physics Computational Physics Stochastic resonance Schmitt trigger Bi-stable system Weak signal Detection Frequency Amplitude Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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