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Majorization-Minimization-Based Sparse Signal Recovery Method Using Prior Support and Amplitude Information for the Estimation of Time-varying Sparse Channels

机译：基于多种化最小化的稀疏信号恢复方法，使用先前支持和幅度信息，用于估计时变稀疏通道

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1. Bilinear Matrix Factorization Methods for Time-Varying Narrowband Channel Estimation: Exploiting Sparsity and Rank [J] . Sajjad Beygi, Amr Elnakeeb, Sunav Choudhary, IEEE Transactions on Signal Processing . 2018,第22期

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2. Weighted ep-Minimization for Sparse Signal Recovery under Arbitrary Support Prior [J] . Yueqi Ge, Wengu Chen, Huanmin Ge, 分析、理论与应用（英文版） . 2021,第003期

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3. MIMO Radar 3-D Imaging Based on Multi-Dimensional Sparse Recovery and Signal Support Prior Information [J] . Hu Xiaowei, Tong Ningning, Guo Yiduo, Nature reviews Cancer . 2018,第8期

机译：基于多维稀疏恢复的MIMO雷达3-D成像和信号支持先前信息
4. Time-domain method for DOA estimation of LFM signals based on block-sparsity recovery [C] . Bo Lin, Zhang Zenghui, Jubo Zhu 2012 IET International Conference on Information Science and Control Engineering . 2012

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5. A new class of sparse channel estimation methods based on support vector machines. [D] . Han, Dongho. 2006

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6. Bayesian Learning-Based Clustered-Sparse Channel Estimation for Time-Varying Underwater Acoustic OFDM Communication [O] . Shuaijun Wang, Mingliu Liu, Deshi Li 2021

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7. Exploiting Correlation in Sparse Signal Recovery Problems: Multiple Measurement Vectors, Block Sparsity, and Time-Varying Sparsity [O] . Zhang, Zhilin, Rao, Bhaskar D. 2011

机译：在稀疏信号恢复问题中利用相关性：多重测量矢量，块稀疏度和时变稀疏度

Majorization-Minimization-Based Sparse Signal Recovery Method Using Prior Support and Amplitude Information for the Estimation of Time-varying Sparse Channels

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