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Spatiotemporal sparse Bayesian learning with applications to compressed sensing of multichannel physiological signals

机译：时空稀疏贝叶斯学习，应用于多通道生理信号的压缩感知

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Zhilin Zhang; Tzyy-ping Jung; Senior Member; Scott Makeig; Zhouyue Pi; Bhaskar D. Rao;
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年度 2014
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1. Spatiotemporal Sparse Bayesian Learning With Applications to Compressed Sensing of Multichannel Physiological Signals [J] . Zhang Z., Jung T.-P., Makeig S., Neural Systems and Rehabilitation Engineering, IEEE Transactions on . 2014,第6期

机译：时空稀疏贝叶斯学习及其在多通道生理信号压缩感知中的应用
2. Bayesian compressive sensing for approximately sparse signals and application to structural health monitoring signals for data loss recovery [J] . Huang Yong, Beck James L., Wu Stephen, Probabilistic engineering mechanics . 2016,第octa期

机译：用于近似稀疏信号的贝叶斯压缩传感，并应用于结构健康监测信号以恢复数据
3. Adaptive Cluster Structured Sparse Bayesian Learning with Application to Compressive Reconstruction for Chirp Signals [J] . Qiang Wang, Chen Meng, Cheng Wang, Signal processing . 2022,第Jana期

机译：自适应集群结构稀疏贝叶斯学习，应用于Chirp信号的压缩重建
4. A compressive sensing recovery algorithm based on sparse Bayesian learning for block sparse signal [C] . Wang Wei, Jia Min, Guo Qing International Symposium on Wireless Personal Multimedia Communications . 2014

机译：基于稀疏贝叶斯学习的块稀疏信号压缩感知恢复算法
5. Compressive power systems: Applications of compressive sensing and sparse recovery in the analysis of smart power grids. [D] . Babakmehr, Mohammad. 2017

机译：压缩电源系统：压缩感测和稀疏恢复在智能电网分析中的应用。
6. Accelerated sparsity based reconstruction of compressively sensed multichannel EEG signals [O] . Muhammad Tayyib, Muhammad Amir, Umer Javed, 2020

机译：基于加速的基于稀疏的伤害性传感多通道EEG信号的重建
7. Spatiotemporal Sparse Bayesian Learning with Applications to Compressed Sensing of Multichannel Physiological Signals [O] . Zhang, Zhilin, Jung, Tzyy-Ping, Makeig, Scott, 2014

机译：时空稀疏贝叶斯学习及其在压缩算法中的应用感知多通道生理信号

Spatiotemporal sparse Bayesian learning with applications to compressed sensing of multichannel physiological signals

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