Nosie Cancellation using Modified Error Data Normalized Step Size Algorithm
نویسنده
چکیده
This paper presents a Modified Error Data Normalized Step Size (MEDNSS) algorithm in which time fluctuating step size relies on standardization of both error and data vector. An Adaptive Noise Canceller (ANC) is utilized to enhance the system performance in the presence of signal leakage components or signal crosstalk. This ANC comprises of three microphones and two adaptive filters that consequently modify their channel coefficients by utilizing MEDNSS algorithm. The first adaptive filter cancels the signal leakage elements and second adaptive filter cancels the noise.. The execution of the MEDNSS algorithm is broke down, recreated and contrasted with the Error Data Normalized Step Size (EDNSS) algorithm in stationary and non-stationary environments utilizing different noise power levels. Computer simulation results exhibit the noteworthy enhancements of the MEDNSS algorithm over the EDNSS calculation in minimizing the signal distortion, Excess Mean Square Error (EMSE) , low misadjustment variable furthermore enhance Signal to Noise Ratio (SNR). Index Terms – Adaptive filter; Crosstalk reduction; MEDNSS algorithm; Noise cancellation; Stationary and non-stationary environments; EMSE; Misadjustment factor; SNR.
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