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Estimation and dynamic updating of time-varying signals with sparse variations

机译：具有稀疏变化的时变信号的估计和动态更新

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M. Salman Asif; Adam Charles; Justin Romberg; Christopher Rozell;
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年度 2011
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1. Sparse Bayesian Learning With Dynamic Filtering for Inference of Time-Varying Sparse Signals [J] . IEEE Transactions on Signal Processing . 2020,第期

机译：动态滤波的稀疏贝叶斯学习用于时变稀疏信号的推理
2. Dynamic Filtering of Time-Varying Sparse Signals via ℓ1 Minimization [J] . Adam S. Charles, Aurele Balavoine, Christopher J. Rozell IEEE Transactions on Signal Processing . 2016,第21期

机译：通过ℓ1最小化对时变稀疏信号进行动态滤波
3. Mixing Matrix Estimation Algorithm for Time-Varying Radar Signals in a Dynamic System Under UBSS Model [J] . Bai Xiaowei, Fu Weihong, Zhou Chunhua, Circuits, systems and signal processing . 2021,第6期

机译：瑞布斯模型下动态系统中时变雷达信号混合矩阵估计算法
4. Estimation and dynamic updating of time-varying signals with sparse variations [C] . Asif M. Salman, Charles Adam, Romberg Justin, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing . 2011

机译：具有稀疏变化的时变信号的估计和动态更新
5. Signal processing techniques and DSP hardware structures for dynamic estimation and compensation of absolute and relative gain/phase variations in mobile devices. [D] . Premakanthan, Pravinkumar. 2010

机译：用于动态估计和补偿移动设备中绝对和相对增益/相位变化的信号处理技术和DSP硬件结构。
6. State Estimation of the Time-Varying and Spatially Localized Concentration of Signal Molecules from the Stochastic Adsorption Dynamics on the Carbon Nanotube-Based Sensors and Its Application to Tumor Cell Detection [O] . Hong Jang, Jay H. Lee, Richard D. Braatz -1

机译：基于碳纳米管传感器的随机吸附动力学的信号分子时变和空间局部浓度状态估计及其在肿瘤细胞检测中的应用
7. Majorization-Minimization-Based Sparse Signal Recovery Method Using Prior Support and Amplitude Information for the Estimation of Time-varying Sparse Channels [O] . 2018

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

Estimation and dynamic updating of time-varying signals with sparse variations

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