2018
DOI: 10.15199/48.2018.06.11
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Efektywny algorytm obrazowania w tomografii ultradźwiękowej i radiowej dla zagadnień dwuwymiarowych

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Cited by 2 publications
(5 citation statements)
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“…the standard circular pixel and the increased circular pixel, the distribution practically did not differ much. In previous works [11,13] for noise free signal correctness of the novel discretisation was proved. To demonstrate the advantages of pixel enlargement, a synthetic signal with 5% noise was considered, as shown in Fig.…”
Section: Modifications In 2d Spacementioning
confidence: 96%
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“…the standard circular pixel and the increased circular pixel, the distribution practically did not differ much. In previous works [11,13] for noise free signal correctness of the novel discretisation was proved. To demonstrate the advantages of pixel enlargement, a synthetic signal with 5% noise was considered, as shown in Fig.…”
Section: Modifications In 2d Spacementioning
confidence: 96%
“…4. The 32 sensors fixed on the perimeter of the region were considered as it was done in our previous works see for example [13]. The Algebraic Reconstruction Technique (ART) was used to formulate the system of algebraic equations [1-6, 8-10] solved by Singular Value Decomposition (SVD) [7].…”
Section: Modifications In 2d Spacementioning
confidence: 99%
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“…The first approach depends on the solution of the underdetermined system of equations with the aid of FOCUSS algorithm [4]. On the base of numerical experiments, one can say [16], that too deep under-determination of the system of equations has a bad influence on the quality of the solution. One can expect nice results if the number of unknowns is less than two times bigger than the number of observations.…”
Section: Introductionmentioning
confidence: 99%
“…Theoretical basis of developed algorithm interested readers could find in the monography [6]. Some interesting details are presented in the paper [16]. It is worth to stress that according to the simplifying assumptions the reflection rays will not be taken into account.…”
Section: Introductionmentioning
confidence: 99%