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Efficient Adaptive Algorithms Based on Zero-Error Probability Maximization
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 Title & Authors
Efficient Adaptive Algorithms Based on Zero-Error Probability Maximization
Kim, Namyong;
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In this paper, a calculation-efficient method for weight update in the algorithm based on maximization of the zero-error probability (MZEP) is proposed. This method is to utilize the current slope value in calculation of the next slope value, replacing the block processing that requires a summation operation in a sample time period. The simulation results shows that the proposed method yields the same performance as the original MZEP algorithm while significantly reducing the computational time and complexity with no need for a buffer for error samples. Also the proposed algorithm produces faster convergence speed than the algorithm that is based on the error-entropy minimization.
computational complexity;MEE;adaptive algorithm;zero-error probability;
 Cited by
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