1) generalized multiresulation anaylsis
广义多分辨分析
2) generalized multiresolution structure
广义多分辨结构
1.
The pyramid decomposition scheme of a generalized multiresolution structure is proposed,which is similar to Mallat s pyramid algorithm.
引进了仿射伪框架的概念,建立了广义多分辨结构的塔式分解格式,给出了塔式分解格式成立的充要条件。
2.
The notion of generalized multiresolution structure in L2(R) is introduced.
引进广义多分辨结构与子空间伪框架的概念。
3.
The notion of a generalized multiresolution structure biorthogonal wavelets is introduced,and the concept of affine pseudoframes of L2(R)is given.
引进了函数空间L2(R)中的a(2a∈Z)尺度广义多分辨结构与平移伪框架的概念,给出了它的塔式分解格式及其存在的条件,进而得到平方可积函数空间的函数仿射框架展式。
3) generalized multiresolution likelihood ratio(GMLR)
广义多分辨似然比
1.
We define a generalized multiresolution likelihood ratio(GMLR) which generalizes the classic likelihood ratio,and which,after identifying the difference between background and target for each of the multiresolutions of SAR imagery,sums up all the di.
首先在多分辨四叉树上定义了一个广义多分辨似然比,刻画并且累积了SAR(syntheticaperture radar)图像中目标与背景在不同分辨率上的差异,从而增大了目标与背景之间的区分度。
4) generalized multi-resolution morphological gradient
广义多分辨形态学梯度
5) Generalized multiresolution likelihood ratio
广义多分辨似然比
1.
We present several new segmentation methods based on generalized multiresolution likelihood ratio(GMLR) and spatially variant mixture multiscale autoregressive(SVMMAR) model.
但是SAR图像斑点噪声的存在使得SAR图像分割方法对传统光学图像的分割方法提出严重的挑战,本文结合SAR图像的统计特征,主要提出了基于广义多分辨似然比(generalized multiresolution likelihood ratio简称GMLR)和空间变化的混合多尺度自回归(spatially variant mixture multiscale autoregressive简称SVMMAR)随机模型的SAR(synthetic aperture radar)图像分割方法。
6) generalized analysis
广义分析
1.
Based on the unified analyses of series compensation,shunt compensation,phase shifting and unified power flow control,this paper presents a generalized analysis method of line power flow control in power systems by using the model of generalized power flow controller.
基于对串联补偿、并联补偿、移相调节和统一潮流控制的统一分析，利用广义潮流控制器模型，提出了电力系统线路潮流控制的广义分析方法。
补充资料：广义
范围较宽的定义（跟‘狭义’相对）：～的杂文也可以包括小品文在内。
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