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Novel iterative and adaptive compressed sensing

机译:新颖的迭代和自适应压缩感测

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摘要

In this paper, we propose two compressed sensing methods, signed CASS and iterative signed CASS. The effect of signs of entries in a sparse signal could lead to lower accuracy rate of CASS in low SNR region. Thus, signed CASS is proposed to take the signed of a sparse signal into account. The performance of signed CASS is better than CASS in low SNR region and comparable in high SNR region in terms of error rate. To have even better quality, the iterative signed CASS is proposed as well. This approach not only have better performance in all SNR region but have even better PSNR performance, which is at least 1 dB better than CASS.
机译:在本文中,我们提出了两种压缩感知方法,即签名CASS和迭代签名CASS。稀疏信号中条目符号的影响可能会导致低SNR区域中CASS的准确率降低。因此,提出了带符号的CASS以考虑稀疏信号的带符号。在错误率方面,带符号的CASS在低SNR区域中的性能优于CASS,在高SNR区域中具有可比性。为了获得更好的质量,还提出了迭代签名的CASS。这种方法不仅在所有SNR区域都具有更好的性能,而且还具有更好的PSNR性能,比CASS至少好1 dB。

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