茧丝纤度曲线的预测研究茧丝纤度曲线可视为是长度有限且随机变动的非平稳时间序列。
Size curves of cocoon filaments can be regarded as non-stationary time series with finite length varying at random.
研究结果表明，小波变换是分析非平稳随机时间序列的有效工具，在水文水资源领域应用潜力很大。
The results indicate that the wavelet transform is an effective tool for nonstationary stochastic series analysis, which has great potential in hydrology and water resources research.
该方法得大连理工大学博土学位论文到的趋向性序列能更准确地逼近非平稳随机信号的趋向性曲线。
The trend component series derived in this way can near more exactly the trend component curve of the variance-stationary random signal.
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