Binary Sparse Bayesian Learning Algorithm for One-bit Compressed Sensing

Jiang Zhu; Lin Han; Xiangming Meng; Zhiwei Xu

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arXiv · 1805.03043

Binary Sparse Bayesian Learning Algorithm for One-bit Compressed Sensing

Jiang Zhu·Lin Han·Xiangming Meng·Zhiwei Xu

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Abstract

In this letter, a binary sparse Bayesian learning (BSBL) algorithm is proposed to slove the one-bit compressed sensing (CS) problem in both single measurement vector (SMV) and multiple measurement vectors (MMVs). By utilising the Bussgang-like decomposition, the one-bit CS problem can be approximated as a standard linear model. Consequently, the standard SBL algorithm can be naturally incorporated. Numerical results demonstrate the effectiveness of the BSBL algorithm.

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Jiang Zhu, Lin Han, Xiangming Meng, Zhiwei Xu. 2018-05-08. Binary Sparse Bayesian Learning Algorithm for One-bit Compressed Sensing. https://arxiv.org/abs/1805.03043

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