摘要
应用Morlet连续小波变换对玉米冠层内外 4个高度风速数据的变化分析结果表明 ,1h平均风速的连续小波变换提供了不同高度风速数据所包含的多种周期分量的清晰图像 ,1d和 18d周期是 4组风速数据包含的主要周期分量。
In this paper, the variabilities of wind speed within an d above maize canopy have been analyzed by using Morlet continuous wavelet trans form. The main results show that the continuous wavelet analysis provides a conc ise and compact information in the scale-time domain,it reveals the 1d and 18d period components of the data. Averaged wavelet spectra over time and scales giv e the temporal variability and the energy distributions with different periodic components of the data .
出处
《中国生态农业学报》
CAS
CSCD
2003年第4期63-65,共3页
Chinese Journal of Eco-Agriculture
基金
国家重点基础研究(973)发展规划项目(G 1 999 1 1 70 8)部分研究内容