Statistic and typical-year composition methods are used to study the northwest Pacific typhoon activities in relation with the El Nino and La Nifia events. The result indicates that the typhoon tends to be inactive in...Statistic and typical-year composition methods are used to study the northwest Pacific typhoon activities in relation with the El Nino and La Nifia events. The result indicates that the typhoon tends to be inactive in the El Nifio years and active in the La Nina years and it is also dependent on the onset and ending time and intensity of the events and areas of genesis of typhoons. With statistic features of the frequency of typhoon activity in the El Nifio and La Nina years and the time-lag correlation between the frequency and sea surface temperature (SST). useful information is provided for the prediction of typhoon occurrence. In addition, the singular values disassemble (SVD) method is applied to study the correlation between the geopotential field and SST field. The result shows that the air-sea coupling in the El Nino years is unfavorable for the typhoon to develop, which take place with a smaller number. Opposite situations are found with the La Nina years.展开更多
Cognitive functions are often studied using eventrelated potentials（ERPs）that are usually estimated by an averaging algorithm.Clearly,estimation of single-trial ERPs can provide researchers with many more details of...Cognitive functions are often studied using eventrelated potentials（ERPs）that are usually estimated by an averaging algorithm.Clearly,estimation of single-trial ERPs can provide researchers with many more details of cognitive activity than the averaging algorithm.A novel method to estimate single-trial ERPs is proposed in this paper.This method includes two key ideas.First,singular value decomposition was used to construct a matrix,which mapped singletrial electroencephalographic recordings（EEG）into a low-dimensional vector that contained little information from the spontaneous EEG.Second,we used the theory of compressed sensing to build a procedure to restore single-trial ERPs from this low-dimensional vector.ERPs are sparse or approximately sparse in the frequency domain.This fact allowed us to use the theory of compressed sensing.We verified this method in simulated and real data.Our method and dVCA（differentially variable component analysis）,another method of single-trial ERPs estimation,were both used to estimate single-trial ERPs from the same simulated data.Results demonstrated that our method significantly outperforms dVCA under various conditions of signal-to-noise ratio.Moreover,the single-trial ERPs estimated from the real data by our method are statistically consistent with the theories of cognitive science.展开更多
文摘Statistic and typical-year composition methods are used to study the northwest Pacific typhoon activities in relation with the El Nino and La Nifia events. The result indicates that the typhoon tends to be inactive in the El Nifio years and active in the La Nina years and it is also dependent on the onset and ending time and intensity of the events and areas of genesis of typhoons. With statistic features of the frequency of typhoon activity in the El Nifio and La Nina years and the time-lag correlation between the frequency and sea surface temperature (SST). useful information is provided for the prediction of typhoon occurrence. In addition, the singular values disassemble (SVD) method is applied to study the correlation between the geopotential field and SST field. The result shows that the air-sea coupling in the El Nino years is unfavorable for the typhoon to develop, which take place with a smaller number. Opposite situations are found with the La Nina years.
基金supported by National Basic Research Development Program (973 program) of China (2012CB825500,2011CB707800)National Natural Science Foundation of China (31271168)Natural Science Foundation of Fujian Province, China (2011J01344)
文摘Cognitive functions are often studied using eventrelated potentials（ERPs）that are usually estimated by an averaging algorithm.Clearly,estimation of single-trial ERPs can provide researchers with many more details of cognitive activity than the averaging algorithm.A novel method to estimate single-trial ERPs is proposed in this paper.This method includes two key ideas.First,singular value decomposition was used to construct a matrix,which mapped singletrial electroencephalographic recordings（EEG）into a low-dimensional vector that contained little information from the spontaneous EEG.Second,we used the theory of compressed sensing to build a procedure to restore single-trial ERPs from this low-dimensional vector.ERPs are sparse or approximately sparse in the frequency domain.This fact allowed us to use the theory of compressed sensing.We verified this method in simulated and real data.Our method and dVCA（differentially variable component analysis）,another method of single-trial ERPs estimation,were both used to estimate single-trial ERPs from the same simulated data.Results demonstrated that our method significantly outperforms dVCA under various conditions of signal-to-noise ratio.Moreover,the single-trial ERPs estimated from the real data by our method are statistically consistent with the theories of cognitive science.
