计算机科学 ›› 2016, Vol. 43 ›› Issue (Z11): 144-146.doi: 10.11896/j.issn.1002-137X.2016.11A.031
熊杰,陈浩,闫斌
XIONG Jie, CHEN Hao and YAN Bin
摘要： 块稀疏信号作为一种典型的稀疏信号,在压缩感知重构算法中被广泛应用研究,但是普通的重构算法并不能挖掘其内部结构,这导致重构精度得不到提高。在此基础上,针对普通的1比特压缩感知重构算法在块稀疏信号的重构中不能表现出良好的重构性能的问题,提出了一种专门针对块稀疏信号的1比特压缩感知重构算法。该算法以每一个块为重构单元,在二进制迭代硬阈值算法模型下进行重构。实验数据表明,提出的BLOCK-BIHT算法的重构精度比BIHT算法提高了3dB。
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