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Low Complexity Stopping Rule for Turbo Decoding : the Max-log Criterion

100%

Ouardi A.

2024

tom nr 1

34--38

This paper presents a new stopping criterion for turbo decoding. It is based on the selection of the maximum log-alphas calculated by the log-MAP algorithm. The sum of these maximum alphas is compared with a threshold value. Then, a decision on the end of decoding is taken. Simulation results show that the max-log criterion offers the same performance as the sum-alpha and sum-log criteria, while maintaining the same complexity level. The max-log criterion uses only the max operator to select maximum alphas and a summation. Therefore, the proposed criterion is faster and offers lower complexity.

A new stopping criterion for iterative solvers for control optimal problems

86%

Krumbiegel K. , Rosch A.

Archives of Control Sciences

2008

tom Vol. 18, no. 1

17-42

Linear quadratic optimal control problems governed by PDEs with pointwise control constraints are considered. We derive error estimates for feasible and infeasible controls of the problem. Based on this theory an error estimator is constructed for different discretization schemes. Moreo ver, we establish the estimator as a stopping criterion for several optimization methods. Furthermore, additional errors caused by solving the linear systems are discussed. The theory is illustrated by numerical examples.