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Application of Fiber-Optical Gas Sensor Network in Gas Detection Based on Digital Signal Processing Algorithm

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As the optical fiber technology develops constantly, fiber-optical gas sensors that are characterized by high sensitivity, high selectivity and short response time have been extensively applied for gas detection applications. This study is applied to the digital signal processing (DSP) algorithm for the gas detection system of methane. The zero phase distortion filter algorithm in DSP algorithm was used to process the collected data and reasonable results were obtained. Therefore, it can be concluded that applying the DSP algorithm to the fiber-optical gas sensor network is an effective way.
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Document Type: Research Article

Publication date: July 1, 2017

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  • Journal of Nanoelectronics and Optoelectronics (JNO) is an international and cross-disciplinary peer reviewed journal to consolidate emerging experimental and theoretical research activities in the areas of nanoscale electronic and optoelectronic materials and devices into a single and unique reference source. JNO aims to facilitate the dissemination of interdisciplinary research results in the inter-related and converging fields of nanoelectronics and optoelectronics.
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