混合矩阵

这种测试在Mahout中输出的数据结构是混合矩阵。

The output from such a test in Mahout is a data structure called a confusion matrix .

混合矩阵可以描述各类别有多少正确分类的结果和错误分类的结果。

A confusion matrix describes how many results were correctly classified and how many were incorrectly classified for each of the categories .

四代夸克的混合矩阵与CP破坏

Four Generation Quark Mixing Matrix and CP Violation

本文基于双四次广义B样条基函数和G1连续条件，推导出线性混合矩阵。

Based on the generalized B-spline blending functions and G1 continuous conditions , the blending matrices are derived .

基于改进K-means聚类和霍夫变换的稀疏源混合矩阵盲估计算法

Blind Recovery of Mixing Matrix with Sparse Sources Based on Improved K-means Clustering and Hough Transform

即利用混合矩阵，可以用与张量积B样条曲面相同的概念框架处理具有非四边界及多于或少于4个四边界面汇聚于一点的非规则控制多面体的曲面拟合。

That is , irregular meshes with non-quadrilateral cells and more or fewer than four cells meeting at a point can be input and treated in the same conceptual framework as tensor-product B-splines .

该方法采用固定点ICA算法来估计多径信道的混合矩阵，从而提取信道的延迟信息。

The mixture matrix of multi-path channel can be estimated using a fast fixed-point algorithm , and then the delay information of channel can be obtained .

基于峭度极大的动态ICA算法产生的混合矩阵系数的时间波形能及时准确地反映u节律能量变化。

The time waveform of the mixing matrix which was generated by dynamic ICA algorithm based on kurtosis maximization can promptly and accurately reflect the energy changes of μ rhythm .

在无超光速中微子的框架下，检验Lorentz对称破缺模型的方法主要集中在中微子混合矩阵元的能量依赖关系上。

In the regime without the superluminal neutrinos , the method testing the Lorentz-violation models focuses on the energy-dependence of the mixing element of the neutrinos .

然而，由于Lorentz对称破缺的引入，不仅使得混合矩阵元是能量依赖的，同时中微子能量-动量色散关系也需要作出修正，即可能出现超光速中微子。

However , because of the introduction of the Lorentz invariance violation , we should modify the dispersion relation of the neutrino besides the energy-dependence mixing element , which means there may be superluminal neutrinos .

提出了用先验混合矩阵对盲源进行分离的网络分量分析方法（NCA）。

A method of Network Component Analysis ( NCA ) which separated blind sources using apriori information on the mixing matrix was put forward .

得到混合矩阵的估计之后，为了估计出不同稀疏程度的源信号，本文将平滑l0范数思想引入源信号估计中，不再使用最小l1范数的方法。

After getting the mixing matrix estimation , in order to estimate source signals with different degree of sparsity , this paper proposed a method based on the smoothed l0 norm to recover the source signals .

该方法是以含有受控源的线性m端口网络的混合矩阵方程为依据的，它能分析包括VCVS和CCVS器件的电路。

This method , is based on the hybrid matrix equation of the linear m-port network with controlled sources . It can be used for the circuits containing VCVS and CCVS .

转轴编码器构成的智能仪器混合矩阵面板的实现

Realization of Matrix Panel of Intelligent Instrument Using Rotating Shaft Encoder

论同一网络混合矩阵间之关系

On the relation among various mixed matrices obtained from the same network

在估计出混合矩阵的基础上，利用最短路径法分离出源信号。

Then , the source signals can be recovered by the shortest path method .

实验分为两个过程：（1）估计混合矩阵；

The experiment has two steps : ( 1 ) estimating the mixing matrix ;

混合矩阵估计算法是欠定盲源分离中的关键性问题之一。

The mixing matrix estimation algorithm plays a key role in underdetermined blind source separation .

本文给出了大变化灵敏度计算的一种新方法&混合矩阵法。

A new method of calculating the large-chang sensitivity & hybrid matrix method is proposed .

对称化算子诱导的混合矩阵函数

Mixed matrix functions induced by symmetrizing operators

大变化灵敏度问题的研究&混合矩阵法程序设计

Program Design of Large - Change Sensitivity

以最大似然估计为基础，本文提出一种求解参数的最优化算法，并给出了混合矩阵和协方差矩阵的计算式。

Based on Maximum Likelihood estimation , the equations are given for solving the mixing matrix and covariance matrix .

为此，文中提出判别虚假分段组合的一个充分判据及算法，并引入广义混合矩阵的概念。

The concept of hybrid matrices is also generalized by introducing generalized hybrid matrices for the purpose of increasing efficiency .

本文根据语音信号在实际环境下传播存在多径效应而造成反射信号之间产生时延差异的特点，提出了一种新的基于卷积混合矩阵模型的盲分离算法。

A new blind source separation algorithm for convolved mixtures of speech singals is developed with consideration of different delayed multi-path reflections .

算法无需输入信号和混合矩阵的任何先验知识，实验仿真证明了算法的有效性。

The algorithm needs no priori information about the input signal and mixture matrix . Simulations have proved the effectiveness of the approach .

利用源信号的稀疏性估计混合矩阵，然后简化混合矩阵构造新的混合模型。

The new algorithm can simplify the channel matrix and set up a new one by using the sparse characteristic of source signals .

介绍转轴编码器的原理，从而提出面板中按键和转轴编码器的混合矩阵连接方案。

A matrix connection of the panel using buttons and rotating shaft encoders is developed after the principle of rotating shaft encoders is introduced .

针对混合矩阵发生突变的情况，提出一种基于时变遗忘因子递归广义特征分解的非白源盲分离算法。

An efficient variable forgetting factor recursive generalized eigen-decomposition algorithm is developed for blind separation of non-white sources when the mixing matrix changes abruptly .

这类算法按对混合矩阵是否有正交性约束，可以分为正交联合对角化算法和非正交联合对角化算法。

According to whether there is an orthogonal constraint imposed on the mixing matrix , these algorithms can be classified into orthogonal and non-orthogonal ones .

针对语音信号的弱稀疏性，提出一种新的基于混合矩阵估计的欠定语音盲分离方法。

This paper proposes a new method based on mixing matrix estimation for underdetermined blind speech separation , aiming at speech signals under weak sparseness .