2017
DOI: 10.1007/s00339-016-0691-6
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Hybrid graphene–copper UWB array sensor for brain tumor detection via scattering parameters in microwave detection system

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Cited by 13 publications
(14 citation statements)
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“…The explicit form (19) of the group Γ M yields for any w ∈ W and s ∈ 1 M Q the equality wγ k λ, s = w(r 1 r 2 ) k λ + M wω k , s = w(r 1 r 2 ) k λ, s + M wω k , s , k = 1, 2.…”
Section: Honeycomb Weyl and Hartley Orbit Functionsmentioning
confidence: 99%
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“…The explicit form (19) of the group Γ M yields for any w ∈ W and s ∈ 1 M Q the equality wγ k λ, s = w(r 1 r 2 ) k λ + M wω k , s = w(r 1 r 2 ) k λ, s + M wω k , s , k = 1, 2.…”
Section: Honeycomb Weyl and Hartley Orbit Functionsmentioning
confidence: 99%
“…Special cases of the presented honeycomb orbit functions represent analogous vibration modes that satisfy either Dirichlet or von Neumann conditions on the boundary of the same type. Since spectral analysis provided by the developed discrete honeycomb transforms enjoys similar boundary properties as the 2D discrete cosine and sine transforms, the output analysis of the graphene-based sensors [19,30] by the honeycomb transforms offers similar data processing potential. The honeycomb discrete transforms provide novel possibilities for study of distribution of spectral coefficients [20], image watermarking [10], encryption [25], and compression [9] techniques.…”
Section: Introductionmentioning
confidence: 99%
“…In EMIT based brain stroke detection scheme, antenna plays a crucial role. In literature, different EMIT based stroke detection techniques can be found which use rigid and flexible antennas [3][4][5][6][7][8][9][10]. The free space performance of these antennas is presented in Table 1.…”
Section: Introductionmentioning
confidence: 99%
“…They classified the results from the human brain model simulation by algorithms, such as PCA and LDA classification algorithms to verify the efficacy of the antenna and found accurate classification. [8]. The authors used the Inverse Fast Fourier Transform (IFFT) for easier analysis of S-parameters and smoothing 'mslowess' procedure to filter out the noise for accurate results.…”
Section: Introductionmentioning
confidence: 99%
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