随着新的数学工具小波分析的实用化为基于NN负荷预测模型性能的改善提供了理论依据对于电力系统负荷非线性时间序列的辨识在预测方法研究中应给予重视在本文所用的基于小波原理和NN融合的预测原理是具有强的非线性时间序列的辩能力由研究和仿真表明它能有效提高预测的精度-with new mathematical tools wavelet analysis based on NN into practical load forecasting model to improve the performance

Information of crop phenology is essential for evaluating crop productivity and crop management. Therefore we developed a new method for remotely determining phenological stages of paddy rice. The method consists of three procedures: (i) prescr ipt

时间序列数据分析中的梅林变换工具，插值与拟合的matlab实现，Gabor小波变换与PCA的人脸识别代码。- Time series data analysis Mellin transform tool, Interpolation and fitting matlab implementation, Gabor wavelet transform and PCA face recognition code.