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Accurate traffic flow forecasting is one of the important issues for the research of intelligent transportation system (ITS).The capability to forecast traffic flow has been identified as a critical need for dynamic traffic control system. The embedding phase-space theory treats the dynamic evolution of traffic flow as a chaos time series, and this provides the possibility to forecast short-term traffic...
Independent Component Analysis (ICA) is a recently developed Blind Source Separation (BSS) algorithm based on single observation sample. The success of the algorithm depends on its probability density model can better fit the signal inherent statistical distribution. For the problem that existing algorithms can not well fit the probability density model of source signals, this paper proposes an ICA...
In this paper, we present a new framework for blind source separation of temporal correlated signals. In general, temporal correlated signals are not independent which means the independence assumption for independent component analysis method is not satisfied. To achieve good separation performance, we apply high order statistics and temporal structure together to put the separation processing in...
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