Robust recovery algorithm for compressed sensing in the presence of noise

V. Meena; G. Abhilash

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Robust recovery algorithm for compressed sensing in the presence of noise

机译：存在噪声时用于压缩传感的鲁棒恢复算法

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摘要

The authors propose entropy minimisation-based matching pursuit algorithm which has the capability to reject noise even when the noise level is comparable to the signal level. The proposed algorithm can cater to compressible signals and sparse signals with unknown sparsity.

机译：作者提出了一种基于熵最小化的匹配追踪算法，即使在噪声水平与信号水平相当的情况下，该算法仍具有抑制噪声的能力。所提出的算法可以满足稀疏度未知的可压缩信号和稀疏信号。

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来源
《Signal Processing, IET》 |2016年第3期|227-236|共10页
作者
V. Meena; G. Abhilash;
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National Institute of Technology Calicut, India;

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机译：在脉冲噪声存在下基于L统计量的压缩感知重建算法的修改
2. Robust Multichannel EEG Compressed Sensing in the Presence of Mixed Noise [J] . Chang L., Tao Wei, Cheng Juan, IEEE sensors journal . 2019,第22期

机译：存在混合噪声时的鲁棒多通道EEG压缩感知
3. Robust compressive sensing of multichannel EEG signals in the presence of impulsive noise [J] . Zou Xiuming, Feng Lei, Sun Huaijiang Information Sciences: An International Journal . 2018,第期

机译：在脉冲噪声存在下的多通道EEG信号的强大压缩感应
4. Robust sparse recovery for compressive sensing in impulsive noise using ???p-norm model fitting [C] . Fei Wen, Peilin Liu, Yipeng Liu, IEEE International Conference on Acoustics, Speech and Signal Processing . 2016

机译：使用p范数模型拟合的脉冲噪声中压缩感测的鲁棒稀疏恢复
5. Seismic Deblending: Using Iterative and Compressive Sensing Methods to Quantify Blending Noise Impact on 4D Projects =Seismic deblending: Usando os métodos iterativo e compressive sensing para quantificar o impacto do blending noise em projetos 4D [D] . Velasques, Max M. 2020

机译：地震脱模：使用迭代和压缩检测方法对4D项目量化混合噪声影响=地震弯曲：使用迭代和压缩感测方法量化对4D项目的混合噪声影响
6. Convergence and Stability of a Class of Iteratively Re-weighted Least Squares Algorithms for Sparse Signal Recovery in the Presence of Noise [O] . Behtash Babadi, Demba Ba, Patrick L. Purdon, -1

机译：噪声存在下一类用于稀疏信号恢复的迭代加权最小二乘算法的收敛性和稳定性
7. L-statistics based modification of reconstruction algorithms for compressive sensing in the presence of impulse noise [O] . Srdjan Stanković, Irena Orović, Moeness Amin 2013

机译：基于L-统计的改变改造在存在脉冲噪声中的压缩感应

Robust recovery algorithm for compressed sensing in the presence of noise

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