Segmenting the acoustic signal in the TIMIT database by a switching state Kalman filter model is reported in this paper. According to the assumption that the high dimensional acoustic feature vector of the LSF (Line Spectrum Frequency) of the speech signal is probably embedded in a low dimensional space, a two dimensional vector is used to represent the continuous state vector in this model. Th...

The sound and sustainable development of the international monetary system is cornerstone stable global economy. This paper takes digital currency in China as its research object utilizes a regime-switching transition auto-regression (STAR) model nonlinear time-varying parameter–stochastic volatility–vector auto regression (TVP-SV-VAR) to empirically analyze relationship between RMB, RMB intern...

various statistical methods have been proposed in terms of predicting the outcomes of facing special factors. in the classical approaches,  making the probability distribution or known probability density functions is ordinarily necessary to predict the desired outcome. however, most of the times enough information about the probability distribution of studied variables is not available to the ...