1) convolution transformation
卷积变换
1.
Based on the convolution transformation having the characteristic of enhancing the smooth of the transformation sequence and the Accumulated Generating Operation(AGO) theory,the grey model GM(1,1,t) with linear time term was developed by the convolution transformation with linear sequences to modeling sequences in this paper,which improved the AGO and the grey model GM(1,1) in grey modeling.
根据卷积变换可提高变换序列光滑度的特性和累加生成的机理,对灰色建模中的序列生成方式和GM(1,1)模型加以改进,用线性序列对建模序列作卷积变换,建立带线性时间项的灰色模型GM(1,1,t),实例计算结果表明GM(1,1,t)模型的模拟精度较GM(1,1)模型有较大提高且适用范围更广。
2.
The thesis has been proved in the present paper that the convolution transformation can enhance the covariance and smooth of two monotone incremental sequences.
本文证明了卷积变换可增大两单调递增序列的协方差和光滑度的命题,根据这一命题,利用卷积变换的方法构建灰一元线性回归模型。
2) convolutions/Laplace transform
卷积/Laplace变换
3) convolution/wavelet transformation
卷积/小波变换
4) convolution morphological operator
卷积形态变换
1.
A novel morphological operator,called convolution morphological operator,based on the formation of convolution integral is presented.
提出的卷积形态变换是一种新的形态变换形式,具有线性卷积的结构和形态变换的性质。
5) convolution wavelets transform
卷积型小波变换
6) convolution wavelet packet transformation
卷积小波包变换
1.
In order to improve the detection efficiency of the multi-user DS-CDMA system,the article brings forward a kind of adaptive algorithm based on convolution wavelet packet transformation.
为提高DS-CDMA多用户系统检测的效率,提出了基于卷积小波包变换的自适应算法。
补充资料：卷积变换
卷积变换
convolution transform
卷积变换l阴voluti川恤sfonn;。货pl以n声硕咚~] )形式为 门、)丁〔;‘、‘)f(‘，J‘的积分变换.函数〔，称为卷积变换的核(kernel、。!’the“)nvolutlo，1 tr:，ns丘，。一zT、).对于一些特殊类型的核G，经过适与的变量置换日后卷积变换成为单侧恤pl拟变换(laplacc transtbrnl)、S‘el灯es变换(Stloltues trans-角rm)或Meijer变换(Meijer transform).卷积变换的反演通过关于位移为不变的无限阶线性微分算子来实现 对上某些类型的广义函数也可定义卷积变换f见口〕，，
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条