The sampling theorem for non homogeneous random field in the n-dimensional separable linear canonical transform domain.
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| Title: | The sampling theorem for non homogeneous random field in the n-dimensional separable linear canonical transform domain. |
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| Authors: | Zhang, Shuo1 (AUTHOR), Wang, Suping2 (AUTHOR) guilinwangsuping@126.com |
| Source: | Communications in Statistics: Theory & Methods. 2025, Vol. 54 Issue 24, p7840-7861. 22p. |
| Database: | Business Source Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: bsu DbLabel: Business Source Ultimate An: 189083332 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The sampling theorem for non homogeneous random field in the n-dimensional separable linear canonical transform domain. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Shuo%22">Zhang, Shuo</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Suping%22">Wang, Suping</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> guilinwangsuping@126.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Communications+in+Statistics%3A+Theory+%26+Methods%22">Communications in Statistics: Theory & Methods</searchLink>. 2025, Vol. 54 Issue 24, p7840-7861. 22p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=189083332 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/03610926.2025.2483571 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 7840 Titles: – TitleFull: The sampling theorem for non homogeneous random field in the n-dimensional separable linear canonical transform domain. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhang, Shuo – PersonEntity: Name: NameFull: Wang, Suping IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 12 Text: 2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 03610926 Numbering: – Type: volume Value: 54 – Type: issue Value: 24 Titles: – TitleFull: Communications in Statistics: Theory & Methods Type: main |
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