statistical decomposition
英 [stəˈtɪstɪkl ˌdiːˌkɒmpəˈzɪʃn]
美 [stəˈtɪstɪkl ˌdiːˌkɑːmpəˈzɪʃn]
统计分解
双语例句
- We have studied the statistical distribution of wavelet subimage coefficients and concluded that the distribution of wavelet subimage coefficients is very much similar to that of Laplacian distribution. Based on the statistical properties of image wavelet decomposition, an image quantization algorithm is proposed.
研究了小波子带图像系数的统计分布，发现小波子带图像系数分布和拉普拉斯分布非常相似，继而提出了一种基于其统计特征的图像量化编码算法。 - Statistical Analysis of JPEG Images Based on the Wavelet Packet Decomposition
基于小波包分解的JPEG图像统计特性研究 - A United Optimal Fusion Method of Pixel and Feature for Remote Sensing Images Based on the Statistical Properties of Wavelet Decomposition
基于小波统计特性的遥感图像像素与特征联合最优融合方法 - The Statistical Thermodynamics Theory of the Phase Equilibrium, Spinodal Decomposition Kinetics and Interfaces in Star-like Polymeric Binary Mixtures
星型高分子共混体系的相平衡、相分离和相界面的统计力学理论 - Optimum Fusion for CT/ MR Image Based on the Statistical Property of Wavelet Decomposition
基于小波统计特性的CT/MR医学影像优化融合方法 - This paper introduces the linear magnitude predictor of wavelet packet decomposition coefficients, from which the research method of statistical characteristics of images in the frequency domain based on wavelet packet decomposition is proposed.
该文首先给出了小波包分解系数绝对值的线性预测模型，由此提出了基于小波包分解的图像频域统计特性研究方法。 - In this paper, we discuss local properties of statistical self-similar measure and prove It is trivial in the sense of multifractal decomposition, as it is corollary, we obtain the packing dimension of random self-similar set.
本文讨论了由随机递归结构所决定的统计自相似测度的局部性质，证明了统计自相似测度在多重fractal分解的意义为平凡的，作为其推论，得到了随机自相似集的packing维数。 - Using statistical characteristic of contaminated aerial image's wavelet coefficients and multi resolution decomposition of wavelet transform, shrinkage factors are constructed and used for treating the edge or noise separately.
利用噪声图像小波系数的统计特征和小波变换的多尺度特性构造收缩因子，通过收缩因子对图片中的噪声和边缘区别对待。 - A stress history is decomposed using the wavelet packet transform firstly, and the relationship between the results of decomposition and the stress power spectrum is constructed. Then the statistical characters of wavelet packet coefficients obtained in decomposition are analyzed.
用小波包变换对一个已存在的应力样本进行分解，建立了其小波包分解的结果和应力功率谱密度之间的关系，并分析了分解出的小波包系数的统计性质。 - For the first time, we discover the temporary unmixing physical property and define the single source interval. A sparse decomposition principle based on minimized correlative coefficient has been proposed and it is called statistical sparse decomposition principle ( SSDP).
首次发现了暂时非混叠性这一混叠信号的物理性质，并定义了单源区间，提出了一个基于最小相关系数的统计稀疏分解准则（SSDP）。 - Analysis the SAR image speckle formation mechanism, mathematical description and statistical properties detailedly. Then summarize the classical polarization SAR speckle reduction algorithms and non-supervised classification algorithms based on polarimetric decomposition.
接着详细分析了SAR图像中相干斑的形成机理及其数学描述和统计特性，实现并分析了经典的相干斑抑制算法和基于极化分解的极化SAR非监督分类算法。 - In order to improve the algorithm accuracy, this thesis uses the low-order tensor decomposition ( LOTD) which is more accord with sparse data statistical properties, and proposes a new user prediction algorithm by updating the original low-order tensor decomposition model.
为了提高算法精确度，本文利用更符合稀疏数据统计特性的张量模型&低阶张量分解（LOTD），通过更新此张量分解模型，提出新用户标签推荐算法。 - Proposed an automatic SEs extraction method based on statistical prioritization and decomposition: It firstly used analogism to decompose the sentence meaning of bilingual sentence pairs to acquire its semantic structure, maintaining the bilingual correspondence as well.
提出基于统计优选的语义单元自动分解方法：利用类比推导对双语句对进行句义分解以获取其语义结构，并同步保持双语的对应关系。 - Multivariate statistical analysis revealed that the measured plant and soil physicochemical characteristics can significantly affect the microbial communities, reflecting the influence of the wetland vegetation on the physiological state of the soil microbial community during the decomposition process.
多元统计分析表明植被和土壤理化指标对于微生物群落的变化有显著性影响，反映了随着原生演替进行湿地植被对于土壤微生物在有机物分解过程中生理状态的影响。 - Independent component analysis is the basic meaning of multi-channel observation signal in accordance with the principle of statistical independence, through the optimization algorithm for a number of independent component decomposition process.
独立分量分析的基本含义是将多通道观测信号按照统计独立的原则，通过优化算法分解为若干独立分量的过程。