正交级数 meaning in Chinese

orthogonal series

We can apply many good qualities of wavelet orthogonal series to estimate the condition probability density function of hmm ' s
我们利用小波正交级数的很多良好性质来估计隐马尔科夫模型中的条件概率密度函数。
In the first chapter we give a brief description of the estimating method of univariate non - parametric regressing models . it includes three types : the local modelling approach , the orthogonal series approach and the spline approach
第一章简单地叙述了一元非参数回归模型的三类估计方法：局部光滑方法( localmodellingapproach ) ，正交级数方法( orthogonalseriesapproach )和样条方法( splineapproach ) 。
At last , combining the related knowledge of wavelet theory and hidden markov models , we introduce wavelet transformation for nonparametric estimation of hmm ' s and discuss how to choose resolving scale of haar - wavelet orthogonal series " estimation
最后，结合小波理论和隐马尔科夫模型的相关知识，将小波变换应用到隐马尔科夫模型非参数估计问题中来，并探讨了其中haar小波正交级数估计量分解尺度的选取。