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Blind calibration for compressed sensing: State evolution and an online algorithm

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Academic year: 2021

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Figure 2: Full covariance matrices and departure from the diagonal ansatz for Gaussian inputs ρ = 1 (top row) P = 2 (bottom row) P = 3
Figure 3: Comparison of mean squared errors in reconstructing the signal X 0 using cal-AMP and predicted by SE for the gain calibration problem with calibration variables uniformly distributed in [0.95, 1.05] and N = 10 4
Figure 4: Normalized cross correlation between cal-AMP estimate X ˆ and teacher signal X 0 for the gain calibration problem with calibration variables uniformly distributed in [0.95, 1.05] and N = 10 3
Figure 5: Normalized cross correlation between cal-AMP estimate ˆ s and teacher signal s 0 for the gain calibration problem with calibration variables uniformly distributed in [0.95, 1.05] and N = 10 3

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