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An improved E s2) lower bound is derived for two-level supersaturated designs.
An improved E s2) lower bound is derived for two-level supersaturated designs (SSDs) with an odd number of runs.
The boundedness of the obtained overall closed-loop system is analysed and a bound is derived for the augmented system state which includes the closed-loop system state and the switching function.
Moreover, the closed-form expression of the true Cramér Rao bound is derived for the K-distribution covariance matrix and the efficiency of the maximum likelihood estimator is emphasized by simulations.
The boundedness of the obtained overall closed-loop system is analyzed and a bound is derived for the augmented system state which includes the closed-loop system state and the switching function.
In addition, a theoretical upper bound is derived for the evaluation of the BER of the proposed HR-DSM scheme.
Similar(52)
In [49], an asymptotic lower bound and a conjectured upper bound were derived for the binary case.
The bound was derived for the long filter without IA but under Gaussian processes for which (m_{mathrm {f}}^{(2,2)}=m_{mathrm {x}}^{(2)}), following a wave-theoretical argument.
For SME coefficients where more than one bound is derived from Supplementary Table 2, we report the error-weighted average of all contributions.
The asymptotic efficiency bound is derived under a Markov assumption for the bivariate process while the high-frequency estimator and its asymptotic properties are derived in a general Itô semimartingale setting.
Then a novel lower bound is derived and two optimal algorithms are designed for solving two special cases.
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