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Performance Analysis of Correntropy-Based Blind Algorithms Robust to Impulsive Noise
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 Title & Authors
Performance Analysis of Correntropy-Based Blind Algorithms Robust to Impulsive Noise
Kim, Namyong;
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In blind signal processing in impulsive noise environment the maximum cross-correntropy (MCC) algorithm shows superior performance compared to MSE-based algorithms. But optimum weight conditions of MCC algorithm and its properties related with robustness to impulsive noise have not been studied sufficiently. In this paper, through the analysis of the behavior of its optimum weight and the relationship with the MSE-based LMS algorithm, it is shown that the optimum weight of MCC and MSE-based LMS have an equal solution. Also the factor that keeps optimum weight of MCC undisturbed and stable under impulsive noise is proven to be the magnitude controlled input through simulation.
Cross-correntropy;Random symbols;Impulsive noise;Optimum weight;Magnitude controlled;Equalizer;
 Cited by
최대 상호코렌트로피 알고리듬을 위한 스텝사이즈 정규화,김남용;

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