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Nonnegative Time-Frequency Distributions for Sparse Representation of Dispersion Signal

机译：色散信号稀疏表示的非负时频分布

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《International Conference on Information Engineering and Computer Science;ICIECS 2009》|2009年|1-4|共4页
会议地点 Wuhan(CN);Wuhan(CN)
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Guo, Jinku; Wu, Jinying; Liu, Guangbin;
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1. Nonnegative time-frequency distributions for parametric time-frequency representations using semi-affine transformation group [J] . Hongxing Zou, Dianjun Wang, Xianda Zhang, Signal processing . 2005,第9期

机译：使用半仿射变换组的参数时频表示的非负时频分布
2. Dictionary Learning with Incoherence and Sparsity Constraints for Sparse Representation of Nonnegative Signals [J] . Zunyi TANG, Shuxue DING IEICE transactions on information and systems . 2013,第5期

机译：具有非相干性和稀疏性约束的字典学习用于非负信号的稀疏表示
3. Dictionary Learning with Incoherence and Sparsity Constraints for Sparse Representation of Nonnegative Signals [J] . Zunyi Tang, Shuxue Ding IEICE Transactions on Information and Systems . 2013,第5期

机译：具有非相干性和稀疏性约束的字典学习用于非负信号的稀疏表示
4. Nonnegative time-frequency distributions for sparse representation of dispersion signal [C] . Guo Jinku, Wu Jinying, Liu Guangbin International Conference on Information Engineering and Computer Science . 2009

机译：用于色散信号的稀疏表示的非负时频分布
5. Measuring the phase synchrony of brain signals using time-frequency distributions. [D] . Evans, Westley. 2008

机译：使用时频分布测量大脑信号的相位同步。
6. Deep Layer Kernel Sparse Representation Network for the Detection of Heart Valve Ailments from the Time-Frequency Representation of PCG Recordings [O] . Samit Kumar Ghosh, R. N. Ponnalagu, R. K. Tripathy, 2020

机译：深层内核稀疏表示网络用于检测心阀疾病从PCG录制的时频表示
7. Sparsity-based time-frequency representation of FM signals with burst missing samples [O] . Vaishali S. Amin, Yimin D. Zhang, Braham Himed 2019

机译：基于稀释的稀疏基于爆发样本的FM信号的时频表示
8. Time-frequency representation of a highly nonstationary signal via the modified Wigner distribution [R] . Zoladz, T. F., Jones, J. H., Jong, J. 1992

机译：通过修改的Wigner分布的高度非平稳信号的时频表示

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