Aiko Nishiyama

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We propose a novel algorithm for the recovery of non-sparse, but compressible signals from linear undersampled measurements. The algorithm proposed in this paper consists of two steps. The first step recovers the signal by the &#x2113;<sub>1</sub> minimization. Then, the second step decomposes the &#x2113;<sub>1</sub> reconstruction into major and minor(More)
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