Efficient Calculation for Decision Feedback Algorithms Based on Zero-Error Probability Criterion 


Vol. 40,  No. 2, pp. 247-252, Feb.  2015


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  Abstract

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.

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  Cite this article

[IEEE Style]

N. Kim, "Efficient Calculation for Decision Feedback Algorithms Based on Zero-Error Probability Criterion," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 2, pp. 247-252, 2015. DOI: .

[ACM Style]

Namyong Kim. 2015. Efficient Calculation for Decision Feedback Algorithms Based on Zero-Error Probability Criterion. The Journal of Korean Institute of Communications and Information Sciences, 40, 2, (2015), 247-252. DOI: .

[KICS Style]

Namyong Kim, "Efficient Calculation for Decision Feedback Algorithms Based on Zero-Error Probability Criterion," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 2, pp. 247-252, 2. 2015.