2014
DOI: 10.1007/s00041-014-9347-0
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Optimal Frame Completions with Prescribed Norms for Majorization

Abstract: Given a finite sequence of vectors F 0 in C d we characterize in a complete and explicit way the optimal completions of F 0 obtained by adding a finite sequence of vectors with prescribed norms, where optimality is measured with respect to majorization (of the eigenvalues of the frame operators of the completed sequence). Indeed, we construct (in terms of a fast algorithm) a vector -that depends on the eigenvalues of the frame operator of the initial sequence F 0 and the sequence of prescribed norms -that is a… Show more

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Cited by 17 publications
(71 citation statements)
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“…The first results were obtained for the frame potential in [4] and in a more general context in [9]. The case of general convex potentials was studied in [17,18,21,22,23,24,25,26] (in some cases in the more general setting of frame completion problems with prescribed norms).…”
Section: Frames and Convex Potentialsmentioning
confidence: 99%
See 1 more Smart Citation
“…The first results were obtained for the frame potential in [4] and in a more general context in [9]. The case of general convex potentials was studied in [17,18,21,22,23,24,25,26] (in some cases in the more general setting of frame completion problems with prescribed norms).…”
Section: Frames and Convex Potentialsmentioning
confidence: 99%
“…It is then natural to wonder whether there are tight frames with norms prescribed by α. This question has motivated the study of the frame design problem (see [1,8,10,11,14,15,16,20] and [17,18,22,21,24,25,26] for the more general frame completion problem with prescribed norms). It is well known that in some cases there are no tight frames in the class of sequences in C d with norms prescribed by α; in these cases, it is natural to consider minimizers of the frame potential within this class, since the eigenvalues of the frame operator of such minimizers have minimal spread (thus, inducing more stable linear reconstruction processes).…”
Section: Introductionmentioning
confidence: 99%
“…In [18] any such F is called a completion of F 0 by a family G, with norms prescribed by the sequence a. Eq. (19) can be used to show items 1. and 2. in Theorem 4.1 for a u.i.n. N .…”
Section: Generalized Frame Operator Distancesmentioning
confidence: 99%
“…In order to get information about local minimizers of Θ (N, S, a) from Eq. (19) we should assume further that N is the Frobenius norm. This obstruction to the general case of item 3.…”
Section: Generalized Frame Operator Distancesmentioning
confidence: 99%
“…Another example is the truncated icosahedron, also known as the soccerbal [8]. Whenever the noise models for the anchors are not identical, tight frames can still be obtained such as described in [9], where a frame construction procedure, similar to the GramSchmidt method for orthogonal bases is proposed.…”
Section: Corollary 1 (Crlb Of Optimum Estimator)mentioning
confidence: 99%