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International Journal of Engineering، جلد ۳۴، شماره ۱، صفحات ۹۰-۹۶
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عنوان انگلیسی Employing the Empirical Mode Decomposition to Denoise the Random Telegraph Noise
چکیده انگلیسی مقاله Random Telegraph Noise (RTN) is a stochastic phenomenon which leads to characteristic variations in electronic devices. Finding features of this signal may result in its modeling and eventually removing the noise in the device. Measuring this signal is accompanied by some noise and therefore we require a method to improve the Signal to Noise Ratio (SNR). As a result, the extraction of an accurate RTN is a remarkable challenge. Empirical Mode Decomposition (EMD) as a fully adaptive and signal dependent method, with no dependency to the specific function, can be an appropriate solution. In this paper, we evaluate the most recent methods and compare them with our proposed approach for the artificial and actual RTN signals. The results show the higher accuracy and efficiency by about 54%, 61% and 39% improvement in SNR, Mean Square Error (MSE) and Percent Root mean square Difference (PRD) respectively for the optimized wited method. Finally, an indicator to evaluate the reliability in digital circuits is introduced.
کلیدواژه‌های انگلیسی مقاله Electronic devices,Empirical Mode Decompositio,Noise,Random Telegraph Noise
نویسندگان مقاله A. Moshrefi |
School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran

H. Aghababa |
School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran

O. Shoaei |
School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran

نشانی اینترنتی https://www.ije.ir/article_122185_250f1c66bc3e9d6e1f81cd3444e03518.pdf
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