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Ryo Hayakawa

2 accepted papers

2019

Performance Analysis of Discrete-valued Vector Reconstruction Based on Box-constrained Sum of L1 Regularizers

ICASSP 2019accepted

In this paper, we analyze the asymptotic performance of a convex optimization-based discrete-valued vector reconstruction from linear measurements. We firstly propose a box-constrained version of the conventional sum of absolute values (SOAV) optimization, which uses a weighted sum of ℓ <sub xmlns:m…

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