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Recursive Estimation of Biased Zero-Error Probability for Adaptive Systems under Non-Gaussian Noise
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 Title & Authors
Recursive Estimation of Biased Zero-Error Probability for Adaptive Systems under Non-Gaussian Noise
Kim, Namyong;
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 Abstract
The biased zero-error probability and its related algorithms require heavy computational burden related with some summation operations at each iteration time. In this paper, a recursive approach to the biased zero-error probability and related algorithms are proposed, and compared in the simulation environment of shallow water communication channels with ambient noise of biased Gaussian and impulsive noise. The proposed recursive method has significantly reduced computational burden regardless of sample size, contrast to the original MBZEP algorithm with computational complexity proportional to sample size. With this computational efficiency the proposed algorithm, compared with the block-processing method, shows the equivalent robustness to multipath fading, biased Gaussian and impulsive noise.
 Keywords
recursive probability;biased zero-error;biased Gaussian;impulsive;underwater communication;
 Language
English
 Cited by
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