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Efficient Calculation for Decision Feedback Algorithms Based on Zero-Error Probability Criterion
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 Title & Authors
Efficient Calculation for Decision Feedback Algorithms Based on Zero-Error Probability Criterion
Kim, Namyong;
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Adaptive algorithms based on the criterion of zero-error probability (ZEP) have robustness to impulsive noise and their decision feedback (DF) versions are known to compensate effectively for severe multipath channel distortions. However the ZEP-DF algorithm computes several summation operations at each iteration time for each filter section and this plays an obstacle role in practical implementation. In this paper, the ZEP-DF with recursive gradient estimation (RGE) method is proposed and shown to reduce the computational burden of O(N) to a constant which is independent of the sample size N. Also the weight update of the initial state and the steady state is a continuous process without bringing about any propagation of gradient estimation error in DF structure.
decision feedback;ZEP;computational complexity;recursive gradient;continuity;
 Cited by
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