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Description: EVD测试仪开发源码含测试图片及部分GUI开发源码
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Size: 1546307 |
Author: 姜军 |
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Description: 主要用于监视器等控制显示方面，归属权智胜科技。
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Size: 41408 |
Author: 张强 |
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Description: EVD测试仪开发源码含测试图片及部分GUI开发源码-EVD tester developed with the test-source GUI development picture and some source code
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Size: 1546240 |
Author: 姜军 |
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Description: 主要用于监视器等控制显示方面，归属权智胜科技。-Mainly used for the control and display monitors, the attribution of the right to outwit technology.
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Size: 40960 |
Author: 张强 |
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Description: evc书 evc提高 evd编程
evc书 evc提高 evd编程-Book EVC EVC EVC improve programming book EVC EVD EVD improve programming
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Size: 22690816 |
Author: lang |
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Description: mtk1389DE 超好用的，带HDMI功能-超好用the mtk1389DE with HDMI function
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Size: 13957120 |
Author: zgh |
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Description: this java dictionary for mobile-this is java dictionary for mobile
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Size: 4025344 |
Author: Khuyen |
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Description: Description
Although the Singular Value Decomposition (SVD) and eigenvalue decomposition (EVD) are well-established and can be computed via state-of-the-art algorithms, it is not commonly mentioned that there is an intrinsic sign indeterminacy that can significantly impact the conclusions and interpretations drawn from their results. We provide a solution to the sign ambiguity problem by determining the sign of the singular vector from the sign of the inner product of the singular vector and the individual data vectors. The data vectors may have different orientation but it makes intuitive as well as practical sense to choose the direction in which the majority of the vectors point. This can be found by assessing the sign of the sum of the signed inner products.
More info at: R. Bro, E. Acar, and T. G. Kolda. Resolving the sign ambiguity in the singular value decomposition. J.Chemom. 22:135-140, 2008 and at www.models.life.ku.dk-Description
Although the Singular Value Decomposition (SVD) and eigenvalue decomposition (EVD) are well-established and can be computed via state-of-the-art algorithms, it is not commonly mentioned that there is an intrinsic sign indeterminacy that can significantly impact the conclusions and interpretations drawn from their results. We provide a solution to the sign ambiguity problem by determining the sign of the singular vector from the sign of the inner product of the singular vector and the individual data vectors. The data vectors may have different orientation but it makes intuitive as well as practical sense to choose the direction in which the majority of the vectors point. This can be found by assessing the sign of the sum of the signed inner products.
More info at: R. Bro, E. Acar, and T. G. Kolda. Resolving the sign ambiguity in the singular value decomposition. J.Chemom. 22:135-140, 2008 and at www.models.life.ku.dk
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Size: 2048 |
Author: naresh |
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Description: 虽然奇异值分解（SVD）和特征值分解（EVD的）是行之有效的，可以通过先进的设施设备先进的算法，它不是通常所说，有一个内在的迹象，可以显着影响的不确定性的结论计算及诠释来自其结果。我们提供一个解决方案，标志模糊的问题确定了从奇异向量的内积和个人数据载体签署奇异向量的迹象。该数据可能有不同的载体，但它有它自身的定位和实际意义的选择方向，其中多数的向量点。这可以通过评估发现了内心的签署标志产品的总和。-Although the Singular Value Decomposition (SVD) and eigenvalue decomposition (EVD) are well-established and can be computed via state-of-the-art algorithms, it is not commonly mentioned that there is an intrinsic sign indeterminacy that can significantly impact the conclusions and interpretations drawn from their results. We provide a solution to the sign ambiguity problem by determining the sign of the singular vector from the sign of the inner product of the singular vector and the individual data vectors. The data vectors may have different orientation but it makes intuitive as well as practical sense to choose the direction in which the majority of the vectors point. This can be found by assessing the sign of the sum of the signed inner products.
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Size: 2048 |
Author: lwh |
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Description: alglib,跨平台的数学分析和数据处理库，主要用于矩阵运算（SVD等）-ALGLIB is a cross-platform numerical analysis and data processing library. It supports several programming languages (C++, C#, Pascal, VBA) and several operating systems (Windows, Linux, Solaris). ALGLIB features include:
• Linear algebra (direct algorithms, EVD/SVD)
• Solvers (linear and nonlinear)
• Interpolation
• Optimization
• Fast Fourier transforms
• Numerical integration
• Linear and nonlinear least-squares fitting
• Ordinary differential equations
• Special functions
• Statistics (descriptive statistics, hypothesis testing)
• Data analysis (classification/regression, including neural networks)
• Multiple precision versions of linear algebra, interpolation optimization and others algorithms (using MPFR for floating point computations)
Why to choose ALGLIB? Because it is:
• portable. It can be compiled almost anywhere using almost any compiler (see compatibility matrix for more info).
• ea
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Size: 1045504 |
Author: Cheng |
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Description: 用子空间分解法求出时延估计，这种方法具有较强的抗噪声性能-Calculated using subspace decomposition delay estimation, this method has strong anti-noise performance
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Size: 1024 |
Author: 闫晓媛 |
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Description: ALGLIB is a cross-platform numerical analysis and data processing library. It supports several programming languages (C++, C#, Pascal, VBA) and several operating systems (Windows, Linux, Solaris). ALGLIB features include:
• Linear algebra (direct algorithms, EVD/SVD)
• Solvers (linear and nonlinear)
• Interpolation
• Optimization
• Fast Fourier transforms
• Numerical integration
• Linear and nonlinear least-squares fitting
• Ordinary differential equations
• Special functions
• Statistics (descriptive statistics, hypothesis testing)
• Data analysis (classification/regression, including neural networks)
• Multiple precision versions of linear algebra, interpolation optimization and others algorithms (using MPFR for floating point computations)
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Size: 984064 |
Author: supereast |
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Description: 一种未知信源数的高分辨DOA 估计算法：众多性能优良的超分辨波达方向(DOA)估计算法通常需要预先判定信源数目，然而，现有的信源数估计
算法在有限采样快拍条件下，估计性能随着信噪比的降低而下降，错误概率也相应增加，最终导致DOA 估计失败。
该文提出一种超分辨的DOA 估计算法，此算法不需要预判信源个数和进行特征值分解，同时在时变环境中，针对
快拍数较少的情况下，依然保持较高的角度分辨能力，可以被认为是综合了Capon 法和MUSIC 法的优点。-Algorithm on High Resolution DOA Estimation
without Sources Number：Many of the super resolution DOA(Direction-Of-Arrival) estimation algorithms presume the number of
signal sources. Since the sample snapshot is limited, however, the available algorithms on source number estimation
may fail at lower SNR. In this paper, a novel algorithm for high resolution DOA estimation is proposed, which not
only skips sources number estimation and EVD, but also behaves satisfactorily with a few snapshot, it may be
viewed as a combination of merit of conventional Capon and MUSIC method.
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Size: 647168 |
Author: 可难 |
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Description: DWT-PCA (EVD) Based Copy-move Image Forgery Detection
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Size: 1508352 |
Author: nikki |
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Description: Finding the eigenvalues and eigenvectors of a symmetric matrix
The algorithm finds eigen pairs of a symmetric matrix by reducing it to
tridiagonal form and using the QL/QR algorithm.
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Size: 23552 |
Author: titotito |
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Description: ALGLIB是一个跨平台的数值分析和数据处理函数库。它支持多种编程语言，如C++，C#，Pascal，VBA等，可以在多个操作系统平台上运行，如：Windows，Linux和Solaris。ALGLIB有以下特点：
（1）线性代数（包括矩阵分析）；
（2）方程求解（线性和非线性）；
（3）插值；
（4）最优化；
（5）快速傅里叶变换；
（6）数值积分；
（7）线性和非线性最小二乘拟合；
（8）常微分方程求解；
（9）特殊函数；
（10）统计（描述统计、假设检验）；
（11）数据分析（分类、回归、神经网络）；-ALGLIB is a cross-platform numerical analysis and data processing library. It supports several programming languages (C++, C#, Pascal, VBA) and several operating systems (Windows, Linux, Solaris). ALGLIB features include:
• Data analysis (classification/regression, including neural networks)
• Optimization and nonlinear solvers
• Interpolation and linear/nonlinear least-squares fitting
• Linear algebra (direct algorithms, EVD/SVD), direct and iterative linear solvers, Fast Fourier Transform and many other algorithms (numerical integration, ODEs, statistics, special functions)
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Size: 880640 |
Author: zhouping |
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Description: 四元数计算工具包，可以进行四元数SVD,EVD,FFT等运算-Matlab toolbox for quaternion
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Size: 884736 |
Author: 陈子溢 |
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Description: 针对非圆信号DOA估计问题,提出了一种基于实值特征值分解 (Eigenvalue decomposition,EVD)的求根MUSIC算法.首先利用非圆信号为实值信号的特点,将阵列上的接收数据及其共轭用欧拉公式转换为实值正弦与 余弦数据,然后将正弦与余弦数据进行串联,从而扩展了数据维数.由于采用实值矩阵的EVD,因此在EVD阶段的运算量简化为复值EVD的1/4.根据 EVD后获得的信号与噪声子空间的特点,对噪声子空间和导向矩阵进行重构以便于可以使用求根MUSIC算法获取对DOA的估计.仿真实验验证了本文算法的 有效性-For the estimation of noncircular signals of DOA, proposes a decomposition value based on real valued features (Eigenvalue decomposition, EVD) the root MUSIC algorithm. Firstly, characteristics of non circular signals for real valued signals, the array data and its conjugate with the Euler formula into real value of sine and cosine and sine and cosine data. The data series, thus expanding the dimension of the data. Because of the use of real valued matrix computation in EVD, so the EVD stage was simplified as a complex valued EVD 1/4. according to the characteristics of signal and noise subspace is obtained after EVD, the noise subspace and orientation matrix reconstruction in order to facilitate the use of DOA can obtain the estimated root MUSIC the algorithm. The simulation results verify the effectiveness of the proposed algorithm
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Size: 2048 |
Author: maomaoyu |
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Description: 多用户MIMO中的LS、EVD、ILSP随基站天线数量变化的仿真程序-
Multi-user MIMO in LS, EVD, ILSP change with the number of base station antenna simulation program
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Size: 4096 |
Author: 李芸 |
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Description: Eign Vector Decomposition (EVD). Variation Of Received Signal Against Variation In mean value of Transmitted Signal.
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Size: 17406976 |
Author: ghazy
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