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TO SOLVE MATRIX EQUATION sum (A^iXBi=c) BY THE SMITH NORMAL FORM
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作者 Huang LipingInstitute of Mathematics and Software, Xiangtan Polytechnic University, Xiangtan 411201. 《Applied Mathematics(A Journal of Chinese Universities)》 SCIE CSCD 2002年第1期109-118,共10页
By using the Smith normal form of polynomial matrix and algebraic methods, this paper discusses the solvability for the linear matrix equation A iXB i=C over a field, and obtains the explicit formulas of general sol... By using the Smith normal form of polynomial matrix and algebraic methods, this paper discusses the solvability for the linear matrix equation A iXB i=C over a field, and obtains the explicit formulas of general solution or unique solution. 展开更多
关键词 matrix equation Smith normal form universally solvable g-inverse.
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一种雷达训练成效评估模型构建方法
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作者 朱泽锋 卢其龙 +1 位作者 邹德智 蒋敏 《舰船电子工程》 2025年第6期67-71,共5页
文章以雷测装备跟踪无人机训练为主要手段,选取首捕时长、重捕时长、总跟踪有效时长、方位测角精度、俯仰测角精度作为评估指标。运用反正切函数法、相对比值法将指标进行归一化处理,然后建立训练成效评估模型,以此确定操作手的等级排... 文章以雷测装备跟踪无人机训练为主要手段,选取首捕时长、重捕时长、总跟踪有效时长、方位测角精度、俯仰测角精度作为评估指标。运用反正切函数法、相对比值法将指标进行归一化处理,然后建立训练成效评估模型,以此确定操作手的等级排序。运用该评估模型可解决测控装备训练中不易进行客观考核评价的现实问题,为捕获跟踪训练成效评估奠定了基础,具有一定的实践价值和应用价值。 展开更多
关键词 矩阵 归一化 训练成效 评估模型
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应用Normal矩阵谱平分法的多社团发现 被引量:6
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作者 张燕平 王杨 赵姝 《计算机工程与应用》 CSCD 北大核心 2010年第27期43-45,共3页
现实世界中许多实际网络都有一个共同的性质,即社团结构。揭示网络中的社团结构,对于了解网络结构与分析网络性质都是很重要的。分析了常见的社团发现算法的特点,以及谱二分法在实际应用中必须不断迭代才能完成多社团发现的不足,提出了... 现实世界中许多实际网络都有一个共同的性质,即社团结构。揭示网络中的社团结构,对于了解网络结构与分析网络性质都是很重要的。分析了常见的社团发现算法的特点,以及谱二分法在实际应用中必须不断迭代才能完成多社团发现的不足,提出了基于Normal矩阵和k-means聚类算法的多社团发现方法。该算法能选择合适的特征向量维数,为k-means划分社团提供有效数据,相比其他算法有着较高的准确率。 展开更多
关键词 社团结构 normal矩阵 谱平分法 K-MEANS聚类算法
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语义分割中的自适应通道特征蒸馏
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作者 马健 陈良 +1 位作者 凌志 章月圆 《江苏大学学报(自然科学版)》 北大核心 2025年第5期556-561,共6页
传统的知识蒸馏方法并未对语义分割任务进行优化,且其往往只考虑了模型空间层面的知识对齐,另外还存在师生架构的限制、冗余知识的传播等问题.针对以上不足,使用分割模型的主干部分、特征融合(加强)层和预测标签三者的通道层面特征,并... 传统的知识蒸馏方法并未对语义分割任务进行优化,且其往往只考虑了模型空间层面的知识对齐,另外还存在师生架构的限制、冗余知识的传播等问题.针对以上不足,使用分割模型的主干部分、特征融合(加强)层和预测标签三者的通道层面特征,并利用自注意力机制、softmax量纲一化、相关性矩阵等理论,最终基于主干层改进的自适应特征蒸馏、融合层通道相关性蒸馏及标签层通道显著性蒸馏设计出了自适应通道特征蒸馏框架.为验证框架的有效性,在PSPNet语义分割网络上进行了系统的试验.结果表明:所提出框架在保持PSPNet-ResNet18学生模型推理效率的同时,将分割精度提升5.79百分点,并且,框架支持师生模型采用异构主干网络. 展开更多
关键词 语义分割 知识蒸馏 模型轻量化 自注意力机制 量纲一化 相关性矩阵
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惩罚函数波束形成声源识别算法及应用研究 被引量:1
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作者 赵慎 李伟 +3 位作者 覃业梅 周开军 李世玲 石少锦 《振动与冲击》 北大核心 2025年第1期315-324,共10页
在基于传声器阵列的噪声源识别应用中,函数波束形成算法存在空间分辨率的性能瓶颈,为此提出惩罚函数波束形成声源识别算法。以归一化后的函数波束形成输出作为惩罚矩阵,计算其与加权矩阵的Hadamard积,调节加权矩阵中的导向向量;利用调... 在基于传声器阵列的噪声源识别应用中,函数波束形成算法存在空间分辨率的性能瓶颈,为此提出惩罚函数波束形成声源识别算法。以归一化后的函数波束形成输出作为惩罚矩阵,计算其与加权矩阵的Hadamard积,调节加权矩阵中的导向向量;利用调节后的导向向量与互谱指数函数,计算惩罚函数波束形成输出,以此更新惩罚矩阵并实施迭代运算。通过惩罚迭代,可使点扩散函数接近狄拉克函数,改善空间分辨率性能。仿真和试验结果表明,所提算法的波束主瓣窄、旁瓣低,可有效解决函数波束形成算法空间分辨率不理想的问题。在压缩气体泄漏声源识别应用中,算法有效抑制了噪声干扰、缩减主瓣,表明其具有较好的工程应用前景。 展开更多
关键词 声源识别 函数波束形成 惩罚矩阵 互谱矩阵 归一化
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Generalized normal matrices
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作者 MA Hong-ping MIAO Zheng-ke LI Jiong-sheng 《Applied Mathematics(A Journal of Chinese Universities)》 SCIE CSCD 2008年第2期240-244,共5页
A matrix A ∈ Mn(C) is called generalized normal provided that there is a positive definite Hermite matrix H such that HAH is normal. In this paper, these matrices are investigated and their canonical form, invarian... A matrix A ∈ Mn(C) is called generalized normal provided that there is a positive definite Hermite matrix H such that HAH is normal. In this paper, these matrices are investigated and their canonical form, invariants and relative properties in the sense of congruence are obtained. 展开更多
关键词 generalized normal matrix CONGRUENCE canonical form invariant.
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一种基于Normal矩阵的时间序列聚类方法 被引量:5
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作者 姜荣 赵凤霞 +1 位作者 谢福鼎 张永 《计算机应用研究》 CSCD 北大核心 2010年第8期2926-2928,共3页
提出了一种基于Normal矩阵的时间序列聚类方法。该算法首先对时间序列数据进行向量形式转换,计算出各个时间序列间的相似度并构建复杂网络,然后利用基于Normal矩阵的方法进行复杂网络社团划分,同一类的时间序列被划分到一个社团,即实现... 提出了一种基于Normal矩阵的时间序列聚类方法。该算法首先对时间序列数据进行向量形式转换,计算出各个时间序列间的相似度并构建复杂网络,然后利用基于Normal矩阵的方法进行复杂网络社团划分,同一类的时间序列被划分到一个社团,即实现对时间序列数据的聚类。为了验证该方法的可行性和有效性,将其应用于股票时间序列数据聚类分析中,并在两个实际的数据集上与其他方法相比较,取得了较好的实验结果。 展开更多
关键词 时间序列聚类 社团结构 复杂网络 normal矩阵 相似度
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基于AHP-TOPSIS法的油气长输管道线路路由比选研究
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作者 尚玉杰 《天然气与石油》 2025年第1期65-72,共8页
为比选长输管道线路路由方案,定量分析各方案的适应性,提出了一种基于“层次分析法—逼近理想解排序法”(Analytic Hierarchy Process-Technique for Order Preference by Similarity to Ideal Solution,AHP-TOPSIS)的线路路由比选方法... 为比选长输管道线路路由方案,定量分析各方案的适应性,提出了一种基于“层次分析法—逼近理想解排序法”(Analytic Hierarchy Process-Technique for Order Preference by Similarity to Ideal Solution,AHP-TOPSIS)的线路路由比选方法。以陕京二线输气管道大盂—石家庄分输站段路由方案比选为例,选取投资估算、隧道穿越情况和通过活动断裂带情况等10个指标,确定线路路由比选指标体系,构建目标层—准则层—方案层的递阶层次模型;通过构建AHP-TOPSIS评估模型,计算各指标权重并排序,构建加权规范化决策矩阵,计算各方案与理想方案的相对接近程度,从而确定最佳方案。分析结果表明:投资估算、隧道穿越情况和通过活动断裂带情况对线路路由方案的选择影响较大;通过定量计算,路由方案中南线方案更优,与工程实践也相符合。工程实例证实AHP-TOPSIS法能够用于长输管道线路路由比选,为最佳方案的选择提供依据。 展开更多
关键词 AHP TOPSIS 判断矩阵 加权规范化决策矩阵 优选排序
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长江中下游干流安庆至芜湖河段洲滩湿地植被覆盖度变化
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作者 赵朵朵 杨中华 张鹏 《应用生态学报》 北大核心 2025年第7期2114-2120,共7页
长江中下游安庆至芜湖干流河段是多种生物的重要栖息地,洲滩湿地的生态质量直接影响整个生态系统的稳定性。本研究基于1994—2022年间Landsat系列30 m遥感影像数据,对长江中下游安庆至芜湖干流河段洲滩湿地植被覆盖度(FVC)进行分类,通... 长江中下游安庆至芜湖干流河段是多种生物的重要栖息地,洲滩湿地的生态质量直接影响整个生态系统的稳定性。本研究基于1994—2022年间Landsat系列30 m遥感影像数据,对长江中下游安庆至芜湖干流河段洲滩湿地植被覆盖度(FVC)进行分类,通过动态度及转移矩阵方法,量化不同等级植被覆盖度的转移状况,分析其时空格局。结果表明:研究期间,洲滩植被覆盖度以高及中高等级FVC为主,研究区FVC年均值为0.6188,年均FVC呈现先上升后下降再上升的变化趋势。1994—2004年间,高FVC区域面积下降25.7 km^(2),中、中低FVC分别以3.0%·a^(-1)和2.7%·a^(-1)的增速扩张。三峡水库运行后(2004—2015年),洲滩湿地以水体的转出、高及中高FVC转入为主,FVC综合动态度及低FVC单一动态度达到最高水平。2015—2022年间,洲滩FVC逐渐增加,以中高FVC转为高FVC为主,占总转移面积的15%。引起研究区FVC变化的主要因素包括人为开垦利用、三峡调度、长江防浪林建设和长江大保护战略实施。 展开更多
关键词 改进归一化水指数 Landsat影像 三峡工程 转移矩阵
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图的Normalized Laplacian多项式系数
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作者 廖丽雯 陈海燕 《集美大学学报(自然科学版)》 CAS 2016年第1期77-80,共4页
首先利用图的一级半子图给出了Normalized Laplacian特征多项式系数的一个组合表达式,然后在此表达式的基础上,用组合方法证明了Normalized Laplacian谱和图的结构之间的一系列关系式.
关键词 normalized LAPLACIAN矩阵 一级半子图 normalized LAPLACIAN谱
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The Bounds for Eigenvalues of Normalized Laplacian Matrices and Signless Laplacian Matrices 被引量:1
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作者 Serife Büyükkose Sehri Gülcicek Eski 《Advances in Linear Algebra & Matrix Theory》 2014年第4期201-204,共4页
In this paper, we found the bounds of the extreme eigenvalues of normalized Laplacian matrices and signless Laplacian matrices by using their traces. In addition, we found the bounds for k-th eigenvalues of normalized... In this paper, we found the bounds of the extreme eigenvalues of normalized Laplacian matrices and signless Laplacian matrices by using their traces. In addition, we found the bounds for k-th eigenvalues of normalized Laplacian matrix and signless Laplacian matrix. 展开更多
关键词 normalized Laplacian matrix Signless Laplacian matrix Bounds of Eigenvalue
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On the Normalized Laplacian Spectra of some Double Join Operations of Graphs
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作者 Weizhong WANG Bin WEI 《Journal of Mathematical Research with Applications》 CSCD 2023年第2期127-138,共12页
This paper is concerned with the normalized Laplacian spectra of four variants of double join operations based on subdivision graph,Q-graph,R-graph and total graph.The results here generalize some well known results a... This paper is concerned with the normalized Laplacian spectra of four variants of double join operations based on subdivision graph,Q-graph,R-graph and total graph.The results here generalize some well known results about some join operations of graphs. 展开更多
关键词 normalized Laplacian matrix normalized Laplacian spectrum double join operations regular graph
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一种用于深空网天线组阵的基于归一化权的Matrix-Free Power Method 被引量:3
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作者 赵晓明 冯恩信 姜家持 《遥测遥控》 2009年第4期15-20,共6页
对深空网天线组阵中的几种信号相关算法作简要介绍,重点研究无需形成矩阵的幂的方法——Matrix-Free Power Method。通过理论分析,提出一种改进算法,即基于归一化权的Matrix-Free Power Method。理论计算和软件仿真结果均表明,基于归一... 对深空网天线组阵中的几种信号相关算法作简要介绍,重点研究无需形成矩阵的幂的方法——Matrix-Free Power Method。通过理论分析,提出一种改进算法,即基于归一化权的Matrix-Free Power Method。理论计算和软件仿真结果均表明,基于归一化权的Matrix-Free Power Method信噪比合成性能略优于原Matrix-Free Power Method。 展开更多
关键词 深空探测 天线组阵 matrix-FREE POWER Method 权信噪比 归一化权
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A New Relationship Between Partial Orders of Normal Matrices and Their Squares
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作者 LIUXiao-ji ZHANGJing-wen 《苏州科技学院学报(自然科学版)》 CAS 2004年第2期63-64,共2页
A new relationship between partial orders of normal matrices and their squares is established.
关键词 矩阵论 矩阵部分排序 正规矩阵 线性代数
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Parametric Approach for the Normal Luenberger Function Observer Design in Second-order Descriptor Linear Systems 被引量:2
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作者 Bin Zhou Guang-Ren Duan Yun-Li Wu 《International Journal of Automation and computing》 EI 2008年第2期125-131,共7页
In this paper, the normal Luenberger function observer design for second-order descriptor linear systems is considered. It is shown that the main procedure of the design is to solve a so-called second-order generalize... In this paper, the normal Luenberger function observer design for second-order descriptor linear systems is considered. It is shown that the main procedure of the design is to solve a so-called second-order generalized Sylvester-observer matrix equation. Based on an explicit parametric solution to this equation, a parametric solution to the normal Luenberger function observer design problem is given. The design degrees of freedom presented by explicit parameters can be further utilized to achieve some additional design requirements. 展开更多
关键词 Second-order descriptor linear systems normal Luenberger functions observer Sylvester matrix equation parametricsolutions
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A Method for Normal Direction Judge Applied in Electrocardiographic Problem
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作者 Chengcheng Tang Jian Wu Riqing Chen 《Journal of Biosciences and Medicines》 2018年第1期1-8,共8页
Boundary Element Method (BEM) is widely used in electrocardiographic (ECG) problem. Formulations of these problems based on mathematical and numerical approximations of the known source in heart and the volume conduct... Boundary Element Method (BEM) is widely used in electrocardiographic (ECG) problem. Formulations of these problems based on mathematical and numerical approximations of the known source in heart and the volume conductor that can transfer voltages on the surface of the body. To analyze the electric potentials on body surface or epicardial surface, a set of discrete equations derived from a boundary integral equations need to be solved. Solving these equations means to get the potential distribution eventually. In the process of solving, transfer matrix of discrete equations has received considerable attention, how to get an appropriate transfer matrix is an important issue. This paper found that the direction of normal vector could affect the results when calculating the transfer matrix and presents a method analogous to Mesh Current Method to deal with this direction problem. Several simulations have been carried out to verify the accurate results with the correct direction of normal vector using new method within a torso model given simultaneous epicardial and body surface potential recordings. 展开更多
关键词 ECG PROBLEM BEM Transfer matrix normal VECTOR Direction
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A simple and effective model for Jones matrix to evaluate the transmission performance of Savart polariscope
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作者 吴海英 张淳民 李杰 《Chinese Physics B》 SCIE EI CAS CSCD 2010年第11期381-388,共8页
Starting from the wave normal tracing treatment in the Savart polariscope that relates the Jones matrix to its transmission performance, this paper establishes a simple and effective model for the Jones matrix at an a... Starting from the wave normal tracing treatment in the Savart polariscope that relates the Jones matrix to its transmission performance, this paper establishes a simple and effective model for the Jones matrix at an arbitrary incidence in the spatial domain. Analytical expressions of all the matrix components are determined with the consideration of all the main impact factors. This model needs only a few parameters hence it is convenient to be employed to evaluate the propagation performance of any birefringent optical system. The simulated results obtained with it demonstrate that this model gives a precise representation of the characteristic of light propagation in the Savart polariscope. This would provide useful suggestions for the design, calibration, and performance improvement of any other birefringent polarisation element and optical system. 展开更多
关键词 wave normal tracing method Jones matrix transmission performance Savart polariscope
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基于一致性的赋权方法在课程过程性评价中的应用 被引量:1
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作者 李新云 孟国艳 兰旺森 《大学数学》 2024年第3期56-61,共6页
针对课程平时成绩的权重比例,构建采用客观赋权法确定权重的动态代数模型.基于平时成绩的各项得分,分析项目之间的一致度,应用矩阵理论对权重进行一致性检验,给出一致性最强的权重比例.结合实例计算最优权重.
关键词 平时成绩 赋权 一致度矩阵 主特征向量
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Performance Prediction Based on Statistics of Sparse Matrix-Vector Multiplication on GPUs 被引量:1
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作者 Ruixing Wang Tongxiang Gu Ming Li 《Journal of Computer and Communications》 2017年第6期65-83,共19页
As one of the most essential and important operations in linear algebra, the performance prediction of sparse matrix-vector multiplication (SpMV) on GPUs has got more and more attention in recent years. In 2012, Guo a... As one of the most essential and important operations in linear algebra, the performance prediction of sparse matrix-vector multiplication (SpMV) on GPUs has got more and more attention in recent years. In 2012, Guo and Wang put forward a new idea to predict the performance of SpMV on GPUs. However, they didn’t consider the matrix structure completely, so the execution time predicted by their model tends to be inaccurate for general sparse matrix. To address this problem, we proposed two new similar models, which take into account the structure of the matrices and make the performance prediction model more accurate. In addition, we predict the execution time of SpMV for CSR-V, CSR-S, ELL and JAD sparse matrix storage formats by the new models on the CUDA platform. Our experimental results show that the accuracy of prediction by our models is 1.69 times better than Guo and Wang’s model on average for most general matrices. 展开更多
关键词 SPARSE matrix-Vector MULTIPLICATION Performance Prediction GPU normal DISTRIBUTION UNIFORM DISTRIBUTION
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The Alpha-Beta-Gamma Skew Normal Distribution and Its Application
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作者 Zhengyuan Wei Tiankui Peng Xiaoya Zhou 《Open Journal of Statistics》 2020年第6期1057-1071,共15页
In this paper, a new class of skew multimodal distributions with more flexible than alpha skew normal distribution and alpha-beta skew normal distribution is proposed, which makes some important distributions become i... In this paper, a new class of skew multimodal distributions with more flexible than alpha skew normal distribution and alpha-beta skew normal distribution is proposed, which makes some important distributions become its special cases. The statistical properties of the new distribution are studied in detail, its moment generating function, skewness coefficient, kurtosis coefficient, Fisher information matrix, maximum likelihood estimators are derived. Moreover, a random simulation study is carried out for test the performance of the estimators, the simulation results show that with the increase of sample size, the mean value of maximum likelihood estimators tends to the true value. The new distribution family provides a better fit compared with other known skew distributions through the analysis of a real data set. 展开更多
关键词 Skew Distribution Multimodal Distribution Alpha-Beta-Gamma Skew normal Distribution Fisher Information matrix
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