2021
DOI: 10.3390/electronics10050606
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An SVD Approach for Estimating the Dimension of Phaseless Data on Multiple Arcs in Fresnel Zone

Abstract: In this article, we tackle the question of evaluating the dimension of the data space in the phase retrieval problem. With the aim to achieve this task, we first exploit the lifting technique to recast the quadratic model as a linear one. After that, we evaluate analytically the singular values of the lifting operator, and we quantify the dimension of the data space by counting the number of “significant” singular values. In the last part of the article, we show some numerical results in order to corroborate o… Show more

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Cited by 3 publications
(5 citation statements)
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“…It is worth highlighting that Equation (67) is very similar to Equation (46) shown in [35], i.e., M ≈ 4P π βa u max . The latter represents the number of relevant singular values of the lifting operator when the observation domain is an ensemble of P observation arcs in Fresnel zone subtending an angular sector [−θ max , θ max ].…”
Section: The Dimension Of Data Spacementioning
confidence: 73%
See 2 more Smart Citations
“…It is worth highlighting that Equation (67) is very similar to Equation (46) shown in [35], i.e., M ≈ 4P π βa u max . The latter represents the number of relevant singular values of the lifting operator when the observation domain is an ensemble of P observation arcs in Fresnel zone subtending an angular sector [−θ max , θ max ].…”
Section: The Dimension Of Data Spacementioning
confidence: 73%
“…The latter represents the number of relevant singular values of the lifting operator when the observation domain is an ensemble of P observation arcs in Fresnel zone subtending an angular sector [−θ max , θ max ]. As can be seen, the relevant difference between Equation (67) of this article and Equation (46) in [35] is that η max is replaced by sin θ max . This is perfectly consistent with the fact that the variable η in Fresnel zone can be approximated by sin θ.…”
Section: The Dimension Of Data Spacementioning
confidence: 99%
See 1 more Smart Citation
“…In this section, an analytical evaluation of the dimension of data space is provided. Different methods can be exploited to achieve this task, here, an SVD-based approach that allows estimating the dimension of data space by counting the number of significant singular values of the lifting operator A is exploited [52].…”
Section: Estimation Of the Dimension Of Datamentioning
confidence: 99%
“…Arc modeling is considered to be a practicable way to study the arc characteristics and analyze experiment results. Plenty of works have been devoted to the utilization of arc models in circuit breakers [4][5][6]. If an arc model has a perfect correspondence with the experiment results, it can be used as the theoretical basis for the structural design and optimization.…”
Section: Introductionmentioning
confidence: 99%