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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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 Abstract
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.
 Keywords
computational complexity;MEE;adaptive algorithm;zero-error probability;
 Language
Korean
 Cited by
1.
영확률 성능기준에 근거한 결정궤환 알고리듬의 효율적인 계산,김남용;

한국통신학회논문지, 2015. vol.40. 2, pp.247-252 crossref(new window)
2.
영확률에 기반한 적응 이퀄라이져의 최적조건,김남용;이규영;

한국통신학회논문지, 2015. vol.40. 10, pp.1865-1870 crossref(new window)
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