Abstract

This paper raised a new method about noise-reduction for 1D economic time series data based on ICA, making use of high rank statistical peculiarity of ICA, because of a large number of noises contained in economic series data. We expand 1D signal to many dims, drawing into invented noise components, and separate blind source. Compared to adapt-self filter, this method is excel enter. Authentic proof making effect clearly.

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