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This paper presents a time series' representation by eigenvector sequence based on wavelet transform. This representation is applicable for recognizing astronaut's respiratory intensity. By wavelet analysis, the time series of respiratory intensity is separated into noise and de-noised curve. Noise filtered effectively, the de-noised curve is smooth enough for facile subsection. According to such...
This paper studied the representation of time series. The signal and the noise separated by wavelet analysis, the whole data sampling was divided into many continuous intervals, in which the signal was monotone. Each interval was fitted by n-degree polynomial and its eigenvector was made up of the coefficients of the polynomial, its width and signal noise ratio (SNR). The eigenvectors of continuous...
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