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。
In this paper, the systemic risks of wheat, corn, cotton and peanut in Henan province was quantitatively analyzed by using wavelet multi-resolution analysis and system clustering method.
本文利用小波多分辨分析和系统聚类法对河南省小麦、玉米、棉花和花生系统性风险进行了定量分析。
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。
In order to attain the goal of using multi scale frequency divided data for interpretation, the paper applied the wavelet multi resolution analysis to detect the coherent data volume.
为了达到多尺度分频解释的目的，本文将小波多分辨率分析应用到相干体提取过程中。
Power quality disturbance classification based on time domain, rule based and wavelet multi - resolution decomposition.
基于时域、多分辨率分析和规则基的电能质量扰动分类。
Power quality disturbance classification based on time domain, rule based and wavelet multi - resolution decomposition.
基于时域、多分辨率分析和规则基的电能质量扰动分类。
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