Matches in SemOpenAlex for { <https://semopenalex.org/work/W3097423040> ?p ?o ?g. }
- W3097423040 endingPage "430" @default.
- W3097423040 startingPage "418" @default.
- W3097423040 abstract "Holographic microwave imaging is fast and robust and it has been adapted for near-field applications such as biomedical imaging and nondestructive testing. While the imaging technique is fast, synthesizing a 2-D aperture by mechanical scanning of the antennas takes time. Here, antenna arrays are used to expedite data acquisition along the azimuthal direction in a cylindrical holographic near-field microwave imaging setup. To deal with the limited and nonuniform samples along the azimuthal direction, three holographic imaging approaches are evaluated, in which, we use interpolation, uniform or nonuniform discrete Fourier transform (DFT), standardized low-resolution brain electromagnetic tomography (sLORETA), and exact low-resolution brain electromagnetic tomography (eLORETA). Besides, to make the system low-cost and portable, off-the-shelf components are used to construct a data acquisition system replacing the vector network analyzers. Simulation and experimental studies are conducted to validate the performance of the proposed imaging system. Structural similarity (SSIM) index is used to assess the quality of the reconstructed images." @default.
- W3097423040 created "2020-11-09" @default.
- W3097423040 creator A5012288377 @default.
- W3097423040 creator A5030232652 @default.
- W3097423040 creator A5083783070 @default.
- W3097423040 date "2021-01-01" @default.
- W3097423040 modified "2023-09-29" @default.
- W3097423040 title "Holographic Near-Field Microwave Imaging With Antenna Arrays in a Cylindrical Setup" @default.
- W3097423040 cites W1929507333 @default.
- W3097423040 cites W1985366728 @default.
- W3097423040 cites W1990634755 @default.
- W3097423040 cites W1998924356 @default.
- W3097423040 cites W2001124220 @default.
- W3097423040 cites W2002354122 @default.
- W3097423040 cites W2005680653 @default.
- W3097423040 cites W2015356583 @default.
- W3097423040 cites W2029051945 @default.
- W3097423040 cites W2031668316 @default.
- W3097423040 cites W2067212321 @default.
- W3097423040 cites W2074873696 @default.
- W3097423040 cites W2078940259 @default.
- W3097423040 cites W2085232221 @default.
- W3097423040 cites W2088478807 @default.
- W3097423040 cites W2097685897 @default.
- W3097423040 cites W2097795807 @default.
- W3097423040 cites W2115305326 @default.
- W3097423040 cites W2126988493 @default.
- W3097423040 cites W2133665775 @default.
- W3097423040 cites W2143713733 @default.
- W3097423040 cites W2148847280 @default.
- W3097423040 cites W2154837689 @default.
- W3097423040 cites W2155684415 @default.
- W3097423040 cites W2165229864 @default.
- W3097423040 cites W2183982782 @default.
- W3097423040 cites W2490553702 @default.
- W3097423040 cites W2554241168 @default.
- W3097423040 cites W2584563832 @default.
- W3097423040 cites W2604564430 @default.
- W3097423040 cites W2793824137 @default.
- W3097423040 cites W2884552389 @default.
- W3097423040 cites W2903831866 @default.
- W3097423040 cites W2907920774 @default.
- W3097423040 cites W2971566154 @default.
- W3097423040 cites W2973213419 @default.
- W3097423040 cites W3008873267 @default.
- W3097423040 cites W3010843864 @default.
- W3097423040 cites W4206366900 @default.
- W3097423040 doi "https://doi.org/10.1109/tmtt.2020.3031897" @default.
- W3097423040 hasPublicationYear "2021" @default.
- W3097423040 type Work @default.
- W3097423040 sameAs 3097423040 @default.
- W3097423040 citedByCount "14" @default.
- W3097423040 countsByYear W30974230402021 @default.
- W3097423040 countsByYear W30974230402022 @default.
- W3097423040 countsByYear W30974230402023 @default.
- W3097423040 crossrefType "journal-article" @default.
- W3097423040 hasAuthorship W3097423040A5012288377 @default.
- W3097423040 hasAuthorship W3097423040A5030232652 @default.
- W3097423040 hasAuthorship W3097423040A5083783070 @default.
- W3097423040 hasBestOaLocation W30974230401 @default.
- W3097423040 hasConcept C104114177 @default.
- W3097423040 hasConcept C111919701 @default.
- W3097423040 hasConcept C120665830 @default.
- W3097423040 hasConcept C121332964 @default.
- W3097423040 hasConcept C137800194 @default.
- W3097423040 hasConcept C141379421 @default.
- W3097423040 hasConcept C159737794 @default.
- W3097423040 hasConcept C163985040 @default.
- W3097423040 hasConcept C187590223 @default.
- W3097423040 hasConcept C205372480 @default.
- W3097423040 hasConcept C21822782 @default.
- W3097423040 hasConcept C2779885931 @default.
- W3097423040 hasConcept C31972630 @default.
- W3097423040 hasConcept C41008148 @default.
- W3097423040 hasConcept C44838205 @default.
- W3097423040 hasConcept C56529433 @default.
- W3097423040 hasConcept C62520636 @default.
- W3097423040 hasConcept C76155785 @default.
- W3097423040 hasConcept C87360688 @default.
- W3097423040 hasConceptScore W3097423040C104114177 @default.
- W3097423040 hasConceptScore W3097423040C111919701 @default.
- W3097423040 hasConceptScore W3097423040C120665830 @default.
- W3097423040 hasConceptScore W3097423040C121332964 @default.
- W3097423040 hasConceptScore W3097423040C137800194 @default.
- W3097423040 hasConceptScore W3097423040C141379421 @default.
- W3097423040 hasConceptScore W3097423040C159737794 @default.
- W3097423040 hasConceptScore W3097423040C163985040 @default.
- W3097423040 hasConceptScore W3097423040C187590223 @default.
- W3097423040 hasConceptScore W3097423040C205372480 @default.
- W3097423040 hasConceptScore W3097423040C21822782 @default.
- W3097423040 hasConceptScore W3097423040C2779885931 @default.
- W3097423040 hasConceptScore W3097423040C31972630 @default.
- W3097423040 hasConceptScore W3097423040C41008148 @default.
- W3097423040 hasConceptScore W3097423040C44838205 @default.
- W3097423040 hasConceptScore W3097423040C56529433 @default.
- W3097423040 hasConceptScore W3097423040C62520636 @default.
- W3097423040 hasConceptScore W3097423040C76155785 @default.
- W3097423040 hasConceptScore W3097423040C87360688 @default.