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d Butterfly configuration.
For the butterfly configuration, the algorithm described above can be applied by considering antenna pairs.
The butterfly configuration presented in Figure 1d is then considered as an example.
Figure 10 NRMSE in AS using the butterfly configuration (Gaussian, θ m = 10°, SNR = 20 dB, K = 1).
Figure 6 NRMSE in AoA using the butterfly configuration (Gaussian, θ m = 10°, σ θ = 1°, SNRdB = 20 dB). Figure 7 NRMSE in AS using the butterfly configuration ( θ m = 10°, σ θ = 1°, SNRdB = 20 dB).
Figure 8 NRMSE in AS using the butterfly configuration (Laplacian, θ m = 10°, σ θ = 1°, SNRdB = 20 dB). Figure 9 NRMSE in AS using the butterfly configuration (Gaussian, θ m = 10°, σ θ = 5°, SNRdB = 20 dB).
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In Figure 3, we compare the functions Λ obtained for both ULA and butterfly configurations (see Figure 1d).
Nearby lay Nabokov's study of some butterfly-wing configurations, just as careful, just as chromatic, generically different yet spiritually the same products of a genius able to comprehend both extremes of the Great Chain of Being, and to balance them on the point of his pen.
Nearby lay Nabokov's study of some butterfly-wing configurations, just as careful, just as chromatic, generically different yet spiritually the same — products of a genius able to comprehend both extremes of the Great Chain of Being, and to balance them on the point of his pen.
Aiding to the reconfiguration, the configuration registers configure the control unit for the required number of stages, number of butterflies per stage, number of times the BF block is used, etc.
Due to its lower complexity, the configuration with the forward butterfly scheme is the most efficient for high parallelism degree.
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