Feature product was defined with feature moments of the wavelet coefficients with high frequency component under different resolutions, based on transform of IHS and wavelet multiresolution analysis.2.
这种特征量积是在经典的IHS彩色空间变换和小波多分辨率分析的基础上，利用图象高频小波系数的多个特征量来定义的。
参考来源 - 卫星多源遥感图象象素级融合技术研究·2,447,543篇论文数据，部分数据来源于NoteExpress
The features of gene expression are extracted by the wavelet multi-resolution analysis, the features are classified by the support vector machines and BP neural network methods.
采用小波多分辩率分析方法提取基因表达的特征，利用支持向量机和BP神经网络方法进行分类。
Firstly, based on wavelet multi-resolution analysis method, the load serials are decomposed to different sub-serials which show the different frequency characteristics of the load.
首先基于小波多分辨率分析方法将负荷序列分解成具有不同频率特征的序列。
Wavelet multi-resolution analysis method was used to detect de-noising disturbance signal, character values of the transient voltage disturbance signal were extracted more precisely.
利用小波多分辨率分析方法对去噪后的扰动信号进行检测，更精确地提取出了暂态电压扰动信号的特征值。
应用推荐