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Detecting the time-dependent coherence between non-stationary electrophysiological signals -- A combined statistical and time-frequency approach

机译：检测非平稳电生理信号之间随时间变化的相干性-统计和时频组合方法

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Yang Zhan; David Halliday; Xuguang Liu; Jianfeng Feng;
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年度 2005
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1. Detecting time-dependent coherence between non-stationary electrophysiological signals-A combined statistical and time-frequency approach. [J] . Zhan Y, Halliday D, Jiang P, Journal of Neuroscience Methods . 2006,第1a2期

机译：检测非平稳电生理信号之间的时间相关性-统计和时频方法相结合。
2. A new statistical test based on the wavelet cross-spectrum to detect time-frequency dependence between non-stationary signals: application to the analysis of cortico-muscular interactions. [J] . Bigot J, Longcamp M, Dal Maso F, NeuroImage . 2011,第4期

机译：一种基于小波交叉谱的新统计检验，用于检测非平稳信号之间的时频依赖性：在分析皮层-肌肉相互作用中的应用。
3. CLASSIFICATION IN THE GABOR TIME-FREQUENCY DOMAIN OF NON-STATIONARY SIGNALS EMBEDDED IN HEAVY NOISE WITH UNKNOWN STATISTICAL DISTRIBUTION [J] . EWA SWIERCZ International Journal of Applied Mathematics and Computer Science . 2010,第1期

机译：具有未知统计分布的重噪声中嵌入的非平稳信号的Gabor时频域中的分类
4. On the use of time-frequency features for detecting and classifying epileptic seizure activities in non-stationary EEG signals [C] . Boubchir Larbi, Al-Maadeed Somaya, Bouridane Ahmed IEEE International Conference on Acoustics, Speech and Signal Processing . 2014

机译：关于使用时频特征检测和分类非平稳EEG信号中的癫痫发作活动
5. Orthonormal-basis partitioning and time-frequency representation of non-stationary signals. [D] . Aysin, Benhur. 2002

机译：非平稳信号的正交基础划分和时频表示。
6. Time-Frequency Analysis of Non-Stationary Biological Signals with Sparse Linear Regression Based Fourier Linear Combiner [O] . Yubo Wang, Kalyana C. Veluvolu 2017

机译：基于稀疏线性回归的基于傅立叶线性组合器的非平稳生物信号的时频分析
7. A new statistical test based on the wavelet cross-spectrum to detect time-frequency dependence between non-stationary signals: application to the analysis of cortico-muscular interactions [O] . Bigot, Jérémie, Longcamp, Marieke, Dal Maso, Fabien, 2011

机译：基于小波交叉谱的新统计检验，用于检测非平稳信号之间的时频依赖性：在分析皮层-肌肉相互作用中的应用

Detecting the time-dependent coherence between non-stationary electrophysiological signals -- A combined statistical and time-frequency approach

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