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New Suppression Technology for Low-Frequency Noise in Desert Region: The Improved Robust Principal Component Analysis Based on Prediction of Neural Network 期刊论文
发表期刊: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. 出版年: 2020, 卷号: 58, 期号: 7, 页码: 4680-4690
作者:  Dong, Xintong;  Zhong, Tie;  Li, Yue
收藏  |  浏览/下载：12/0  |  提交时间：2021/01/07
Low-frequency noise  Noise reduction  Training  Noise measurement  Sparse matrices  Signal to noise ratio  Predictive models  Convolutional neural network (CNN)  desert low-frequency noise  low-rank matrix (LM)  robust principal component analysis (RPCA)  sparse matrix (SM)