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This paper presents a new method based on approximate negentropy (AN) theory for microseismic arrival time picking in condition of much lower signal-to-noise ratio (SNR).
In this paper, the proposed ICA based on approximate negentropy maximization subject to SOCP constraint has been applied to blind multiuser detection for a synchronous MC-CDMA system.
In this paper, a new coherent detection method will be proposed, which utilizes the modified fast independent component analysis (FastICA) algorithm, based on approximate negentropy maximization that is subject to the second-order cone programming (SOCP) constraint.
Therefore, in this paper, a new blind coherent detection will be developed, which utilizes the modified FastICA algorithm [36] and the optimization of the lower bound of the worst-case performance, based on approximate negentropy maximization, as well as the concept of SOCP constraint [46, 47].
Then, the problem of the worst-case design of the ICA detector based on approximate negentropy maximization can be formulated as maximize w E G w H y ^ 2, subject to w H c ^ 1 ≥ 1 for Δ e ≤ δ. (10).
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Both are based on approximate graph subsumption.
In this work, we propose a new algorithm based on Approximate Bayesian Computation (ABC), to retrieve AOD.
For this case we propose an approximate policy, based on approximate dynamic programming [18, 19].
* The grouping for height and weight are based on approximate quartile values of the control population.
We subdivided lignan intakes into four categories based on approximate quartiles.
The reliability of internal branches was evaluated based on approximate likelihood ratio test (aLRT) statistics [ 62].
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based on approximate discrete-time
based on approximate transformation
based on approximate scaling
based on approximate parameter
based on approximate simulation
based on approximate quartile
based on approximate sampling
based on approximate gradient
based on approximate binding
based on approximate estimation
based on approximate α
based on approximate shell
based on approximate photoconsistency
based on approximate entropy
based on approximate graph
based on approximate sufficiency
based on approximate linearization
based on approximate block
based on approximate likelihood
based on approximate analytical
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