Employing the Empirical Mode Decomposition to Denoise the Random Telegraph Noise

Random Telegraph Noise (RTN) is a stochastic phenomenon which leads to characteristic variations in electronic devices. Finding features of this signal may result its modeling and eventually removing the noise device. Measuring accompanied by some therefore we require method improve Signal Ratio (SNR). As result, extraction an accurate RTN remarkable challenge. Empirical Mode Decomposition (EMD) as fully adaptive dependent method, with no dependency specific function, can be appropriate solution. In paper, evaluate most recent methods compare them our proposed approach for artificial actual signals. The results show higher accuracy efficiency about 54%, 61% 39% improvement SNR, Mean Square Error (MSE) Percent Root mean square Difference (PRD) respectively optimized wited method. Finally, indicator reliability digital circuits introduced.