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We study the acoustic imaging in low signal-to-noise ratio (SNR) environments with compressed sensing (CS) and microphone arrays. In this work, we propose an OMP-SVD method which combines the orthogonal matching pursuit (OMP) method of CS and the singular value decomposition (SVD). The performance of the proposed OMP-SVD method is compared with the CBF method, the OMP method and the l1-SVD method...
Wherein the framework of block compressive sensing sampling of images, an l_p norm minimization algorithm is proposed. The proposed algorithm is memory efficient as we just need to store a block diagonal sensing matrix for sampling the small blocks divided from an original image. The whole image is reconstructed with an l_p norm minimization. To improve the quality of the reconstructed images and...
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