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Fig. 3 | EURASIP Journal on Advances in Signal Processing

Fig. 3

From: On the effect of model mismatch for sequential Info-Greedy Sensing

Fig. 3

Sensing a Gaussian signal of dimension n=100, when there is mismatch between the assumed covariance matrix and the true covariance matrix: \(\widehat {\Sigma } \propto \Sigma + RR^{\intercal }\), where \(R\in \mathbb {R}^{n\times 3}\) and each entry of \(R_{ij} \sim \mathcal {N}(0, 1)\). We repeat 1000 Monte Carlo trials, and for each trial, we use K=20 measurements. The Info-Greedy-2 method corresponds to (2), where we update the assumed covariance matrix sequentially each time we recover a signal and α=0.5

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