Low-complexity adaptive minimum variance ultrasound beam-former based on diagonalization
• A low complexity minimum variance is suggested for the beam-former. • The noticeable feature of the proposed method is its simplicity. • By using this technique, the Minimum Variance runtime is reduced significantly. • This simple technique can be a big step towards adaptive real-time imaging. • T...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Afrakhteh, Sajjad [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Independent influences of excessive body weight and elevated blood pressure from childhood on left ventricular geometric remodeling in adulthood - Yan, Yinkun ELSEVIER, 2017, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:62 ; year:2020 ; pages:0 |
| Links: |
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| DOI / URN: |
10.1016/j.bspc.2020.102110 |
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ELV051481626 |
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| 520 | |a • A low complexity minimum variance is suggested for the beam-former. • The noticeable feature of the proposed method is its simplicity. • By using this technique, the Minimum Variance runtime is reduced significantly. • This simple technique can be a big step towards adaptive real-time imaging. • The complexity is reduced from order of triple L to order of (L × log (L)). | ||
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10.1016/j.bspc.2020.102110 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001163.pica (DE-627)ELV051481626 (ELSEVIER)S1746-8094(20)30265-2 DE-627 ger DE-627 rakwb eng 610 VZ 630 640 610 VZ Afrakhteh, Sajjad verfasserin aut Low-complexity adaptive minimum variance ultrasound beam-former based on diagonalization 2020 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • A low complexity minimum variance is suggested for the beam-former. • The noticeable feature of the proposed method is its simplicity. • By using this technique, the Minimum Variance runtime is reduced significantly. • This simple technique can be a big step towards adaptive real-time imaging. • The complexity is reduced from order of triple L to order of (L × log (L)). Low-complexity adaptive minimum variance Elsevier Delay and sum Elsevier Beamforming Elsevier Ultrasound imaging Elsevier Minimum variance Elsevier Contrast Elsevier Resolution Elsevier Complexity Elsevier Behnam, Hamid oth Enthalten in Elsevier Yan, Yinkun ELSEVIER Independent influences of excessive body weight and elevated blood pressure from childhood on left ventricular geometric remodeling in adulthood 2017 Amsterdam [u.a.] (DE-627)ELV020088493 volume:62 year:2020 pages:0 https://doi.org/10.1016/j.bspc.2020.102110 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_60 AR 62 2020 0 |
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code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">• A low complexity minimum variance is suggested for the beam-former. • The noticeable feature of the proposed method is its simplicity. • By using this technique, the Minimum Variance runtime is reduced significantly. • This simple technique can be a big step towards adaptive real-time imaging. • The complexity is reduced from order of triple L to order of (L × log (L)).</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Low-complexity adaptive 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