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The optimum estimation method is usually the ML estimator which results in θ ̂ ML.
In spite of attaining optimum estimation performance, the ML approach requires sufficiently precise initial estimates for global convergence.
Although optimum estimation performance can be attained, it requires sufficiently precise initial estimates for global convergence because the corresponding cost functions are multimodal.
The algorithm finds the optimum estimation of DOA in least square sense.
In addition, the number of antennas and the compression ratio should be selected wisely to achieve optimum estimation accuracy.
In IDDEA, a novel optimum estimation strategy with multi-agents evolving diversely is suggested to efficiently compute dominance trend and establish a subregion.
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To investigate the rupture process of the Maule earthquake, we used a multitime window inversion scheme that incorporates the data covariance matrix from the observation and modeling errors (Yagi and Fukahata, 2011), and the Akaike Bayesian Information Criteria ABICC) for optimum estimations of smoothness constraint parameters (Yagi and Fukahata, 2008).
Since the rank of a matrix cannot exceed the number of its columns, the maximum number of users for optimum power estimation is equal to m × ( m + 1 ) 2. Although this method is optimum for obtaining ML power estimation, its computational complexity is very high.
According to the optimum MMSE estimation property, δ i is independent of (hat {boldsymbol {g}}_{i}) for i=1,...,K.
This article presents a novel algorithm based on the cross-Wigner-Ville Distribution (XWVD) for optimum phase estimation within the class of phase shift keying signals.
At the end, we will survey optimum power estimation methods in systems with near-far effects for highly overloaded CDMA systems.
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