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Fig. 4 | EURASIP Journal on Advances in Signal Processing

Fig. 4

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

Fig. 4

Comparison of sensing a Gaussian signal with dimension n=100 using unit power measurements along the eigenvector direction, versus splitting each unit power measurement into five smaller ones, each with amplitude \(\sqrt {1/5}\), and we update the covariance matrix in between. The mismatched covariance matrix is \(\widehat {\Sigma } \propto \Sigma + RR^{\intercal }\), where \(r\in \mathbb {R}^{n\times 5}\) and each entry of r is i.i.d. \(\mathcal {N}(0, 1)\), and \(\widehat {\Sigma }\) is normalized to have unit spectral norm. Performance of the algorithm in the presence of mismatch is compared with that with exact parameters

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