“…However, note that the true statistical problem is to determine how farX is from the exact state vector X. But, this is beyond the scope of this work and we refer to [1,10].…”
Section: Discussion and Convergence Analysis A Unconstrained Estimentioning
confidence: 99%
“…PROOF The following equality is straightforwardly deduced from the definition (see (10)) ofŴ k , i.e.,…”
Section: Lemmamentioning
confidence: 99%
“…It is easily seen [1,10] that the possibility of large errors grows with the range-to-baseline ratio. When unreasonable estimates are obtained, additional information may be available which, if properly used, could improve the TMA solution.…”
Section: B Constrained Estimationmentioning
confidence: 99%
“…Usually, an upper bound of the scalar product (rf(X k ) ¡ rf(X), X k ¡ X) is a direct consequence 10 In this section k denotes the index of the iteration.…”
“…However, note that the true statistical problem is to determine how farX is from the exact state vector X. But, this is beyond the scope of this work and we refer to [1,10].…”
Section: Discussion and Convergence Analysis A Unconstrained Estimentioning
confidence: 99%
“…PROOF The following equality is straightforwardly deduced from the definition (see (10)) ofŴ k , i.e.,…”
Section: Lemmamentioning
confidence: 99%
“…It is easily seen [1,10] that the possibility of large errors grows with the range-to-baseline ratio. When unreasonable estimates are obtained, additional information may be available which, if properly used, could improve the TMA solution.…”
Section: B Constrained Estimationmentioning
confidence: 99%
“…Usually, an upper bound of the scalar product (rf(X k ) ¡ rf(X), X k ¡ X) is a direct consequence 10 In this section k denotes the index of the iteration.…”
“…Then, it can be shown (see [19]) that the dimension of the observable space is three. Thus, this observable space can be parameterized by the partial CPA coordinates cpa v ; h; t cpa È É .…”
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