Welcome![Sign In][Sign Up]
Location:
Search - eigenvalue

Search list

[matlabeigtool

Description: 求取大型稀疏矩阵的特征根和特征向量,适用于matlab6.1以上的环境-strike a large sparse matrix eigenvalue and eigenvalues above applies to the environment matlab6.1
Platform: | Size: 2127872 | Author: 白晓明 | Hits:

[Algorithm幂法求特征值

Description: 用幂法求矩阵的按模最大的特征值,是数值分析里的经典方法-method for using the power of the matrix model by the largest eigenvalue of numerical analysis of the classical method
Platform: | Size: 1024 | Author: 陆任秉 | Hits:

[matlabamuse

Description: 这是利用特征值分解的盲源分离的源函数文件,可以直接调用-This is the eigenvalue decomposition of Blind Source Separation of source function, can be called directly
Platform: | Size: 1024 | Author: 陈勇 | Hits:

[matlab1114763

Description: matlab例子自适应滤波最陡下降法特征值扩散度仿真,变步长仿真-Matlab example of adaptive filtering steepest descent method for eigenvalue proliferation simulation, variable step simulation
Platform: | Size: 4096 | Author: | Hits:

[matlab1111EQ

Description: LMS自适应均衡仿真matlab例子特征值扩散度,步长参数的学习曲线仿真-LMS adaptive equalization Matlab simulation examples eigenvalue proliferation, a step learning curve parameters Simulation
Platform: | Size: 3072 | Author: | Hits:

[Algorithmjtwd

Description: 电力系统静态稳定计算一般采用小干扰法,即首先计算近似的线性微分方程组系数矩阵的特征根。然后根据特征根在复平面上的特性,判别电力系统运行的稳定性 操作说明: 请输入初始功率S0,形如a+bi 请输入无限大系统母线电压V0 请输入系统直轴等值电抗的大小Xd 请输入同步电角速度 请输入惯性时间常数Tj 请输入综合阻尼系数D-static power system stability calculation generally use small interfering, first, calculate the approximate linear equations of the coefficient matrix eigenvalue. According eigenvalue in the complex plane on the characteristics of the identification operation of the power system stability operations : Please enter the initial power S0, shaped like a bi Please enter the infinite system bus voltage V0 Please enter the system straight axis equivalent reactance the size Please enter synchronous Xd Please enter the angular velocity-- inertia time constant Tj Please enter the integrated damping D
Platform: | Size: 1024 | Author: 魏鹏 | Hits:

[OS programtezhenzhi

Description: 这是求矩阵特征值的一中方法,如果大家有更好的方法可以和我联系哦-This is the matrix eigenvalue for the one which, if we have a better way to contact me and oh
Platform: | Size: 1024 | Author: 谈红鱼 | Hits:

[CSharptzhzh

Description: 这是求矩阵特征值的一个方法如果大家还有另外更好的方法可以和我联系哦-This is the matrix eigenvalue for a way to the other if we have a better way to contact me and oh
Platform: | Size: 1024 | Author: 谈红鱼 | Hits:

[AlgorithmSubspace

Description: 子空间迭代算法求解结构的特征值,对结构动力分析必须的基本代码,希望对大家有用。-subspace iteration algorithm for the eigenvalue structure, the structural dynamic analysis must be the basic code we hope that the right useful.
Platform: | Size: 2048 | Author: stefanie | Hits:

[Mathimatics-Numerical algorithmshertt

Description: 矩阵的最大特征值的幂法. 对于工程计算而言,矩阵的特征值和特征向量都是相当重要和常见的数据,这里给出的幂法是一种常见的求解方法,用的是迭代的思想。 符号说明: 1A为待求的矩阵, 2Uk,Vk为迭代用的列向量。 3最后的最大特征值maxLamda由最后一次的max(Uk)-----求Uk中的绝对值最大的元素的绝对值.所决定。 而maxLamda所对应的特征向量由最后一次迭代的Vk所决定. 主要的想法就是先选一个不为0的初始向量U0!=0,然后按下面的式子迭代。 -matrix eigenvalue of the largest power France. For engineering calculation, Matrix eigenvalues and eigenvectors are very important and common data, here is the power law is a common solution, using the iterative thinking. Symbol : 1A of the question for the matrix, 2Uk, Vk iteration of the column vector. The final three largest eigenvalue maxLamda from last max (uk Hoffmann for the uk the largest absolute value of the absolute value of the element. by decision. While maxLamda corresponding eigenvectors from the last iteration of Vk decision. The main idea was first choice not one of the initial vector 0 U0! = 0, then by the following formula iteration.
Platform: | Size: 3072 | Author: bass | Hits:

[matlabeigen

Description: D:\matlab\nmm\eigen.rar特征值-D : \ Matlab \ nmm \ eigen.rar eigenvalue
Platform: | Size: 3072 | Author: 刘利 | Hits:

[VC/MFCVC++cac

Description: Visual C++常用数值算法集 本收共不数值计算中常用的Visual C++子过程近200个,内容包括:解线性代数议程组、插值、数值积分、特殊函数、函数逼近、随机数、排序、特征值问题、数据拟合、方程求根和非线性方程组求解、函数的极值和最优化、傅里叶为换谱方法、数据的统计描述、解常微分方程组、两点边值问题的解法和解偏微分方程组。-Visual C common set numerical algorithm has not received the numerical calculation commonly used process Visual C- nearly 200, including : Linear Algebra Agenda Group, interpolation, numerical integration, special, function approximation, random number, sequence, eigenvalue problem, data fitting equation Root and solve nonlinear equations, functions and the extreme optimization Fourier spectrum for other methods, statistical description of data, solution of ordinary differential equations. TPBVP Solution reconciliation partial differential equations.
Platform: | Size: 1982464 | Author: lijian | Hits:

[Algorithmsvector

Description: 计算矩阵特征值的小程序,希望对大家又帮助-matrix eigenvalue calculation of small procedures, we also hope to help
Platform: | Size: 2048 | Author: 杨文海 | Hits:

[Data structsNV_Analysis

Description: 这是数值分析的作业,主要是求矩阵特征值等-This is the numerical analysis of the operation, mainly for matrix eigenvalue etc.
Platform: | Size: 17408 | Author: 许广伟 | Hits:

[Special Effectstsinghua_shanhao06_jingdianpuguji

Description: 本程序是经典谱估计方法的程序,仿照<数字信号处理>胡广书.包含了书中后面三章的所有方法.另外还有FIR,IIR数字滤波器的去噪方法,SVD特征值去噪,信噪比的计算等等.是一经典的程序组.希望和所有人共享-this procedure is classic method of spectral estimation procedures, modeled on the "Digital Signal Processing" Mr Kwong book. The book contains three chapters behind all the way. Another FIR, IIR digital filter de-noising, SVD eigenvalue denoising, the signal-to-noise ratio calculation, and so on. Is a classic procedure group. All sharing hopes and
Platform: | Size: 2530304 | Author: 单昊 | Hits:

[Graph programdzyy

Description: 北京金印能鉴技术开发有限公司的电脑验印代码,接口部分没传,所以没法编译,请朋友们原谅。如果您需要完整代码,请联系金印能鉴,李建国 msn:ljg-msn@hotmail.com QQ:757412868 email:ljgdzz@163.com 功能特点 1、印模提取:自动提取标准印模并抽取特征值,印模经压缩算法处理后小于8K。 2、印章比对:包括配准算法、比对算法和输出验印结果。比对算法提供了3个特征值矩常量因子,二次开发时可以根据需要调整通过率。 3、自动比对:为待验印印章自动匹配预留的标准印模,并自动完成比对,输出验印结果。 4、版面预处理:降低干扰,优化印模,提高通过率。 5、其它功能:实现了折角、镂空、旋转(顺时针、逆时针方向)、平移(上、下、左、右四个方向)等辅助验印功能。 6、支持图像格式:bmp、JEPG。 7、开发语言:C++。 -Beijing will view the Indian Technical Development Ltd. Yanyi computer code, interface not part biography, it is not possible to compile, Please forgive friends. If you need a complete code, please contact the Indian can Jian, Li Jianguo msn : ljg-msn@hotmail.com QQ : 757412868 email : ljgdzz@163.com a functional characteristics, the extraction impression : automatic extraction standard impression and eigenvalue extraction, After compression algorithm impression after less than eight K. 2, chops than right : including registration algorithm, the algorithm than Yanyi and output results. The algorithms provided three eigenvalue moment constant factor, the second being developed under the need to adjust the pass rate. 3, automatic than right : to be automatically matched Yanyi chop reserved i
Platform: | Size: 896000 | Author: ljg | Hits:

[Special Effectsgongshengjuzhen

Description: 实现有一般矩阵到共生矩阵的算法,并求出共生矩阵的几个特征值,-achieve a general matrix of the co-occurrence matrix algorithm, and the results obtained several symbiotic matrix eigenvalue
Platform: | Size: 1126400 | Author: chenle | Hits:

[Special Effectserzhitufenge

Description: 提出了一种新颖的处理图像视觉聚类问题的方法。与以往关注图像局部特征和局部连续性的方法不同,本文中的方法能够提取关于图像的全局印象。为此,我们将图像分割问题转化为图划分问题并提出了划分中的一种全局判别准则——Ncut (Normalized Cut)。Ncut不仅能够衡量不同聚类之间的相异程度,还能够衡量各聚类内部的相似程度。为求解Ncut 的最优化问题,提出了一种基于广义特征值问题的高效算法,并将此算法应用于静态图像分割,取得了良好的效果。-proposed a novel image processing visual clustering problem. Concerned with the past, image characteristics and continuity of the partial difference in the way this method can extract images on the overall impression. To this end, We will image segmentation into the map division and the division of a global criterion-- Ncut ( Normalized Cut). Ncut different not only to measure the difference between the cluster level, but also to measure the internal cluster degree of similarity. Ncut to solve the optimization problem, based on a generalized eigenvalue problem of efficient algorithms, this algorithm will be applied to the static image segmentation, and achieved good results.
Platform: | Size: 23552 | Author: 戚颖杰 | Hits:

[JSPjava_numerical_arithmetic

Description: 内容包括:解线性代数方程组、插值、数值积分、待殊函数、函数逼近、随机数、排序、特征值问题、数据拟合、方程求根和非线性方程组求解、函数的极值和最优化、傅里叶变换谱方法、数据的统计描述、解常微分方程组、两点边值问题的解法和解偏微分方程组。每一个方法都包括功能、算法、使用说明、方法和例子五部分。-include : solution of linear algebraic equations, interpolation, numerical integration, it is pending, function approximation, random number, sequence, eigenvalue problem, data fitting equation Root and solve nonlinear equations, functions and the extreme optimization Fourier transform spectrum, the data statistical description, solution of ordinary differential equations. TPBVP Solution reconciliation partial differential equations. Each one includes functional methods, algorithms, use, methods and examples of five parts.
Platform: | Size: 1320960 | Author: xiaoce | Hits:

[Speech/Voice recognition/combineSPECTRUM_LMS

Description: 1、文件夹中包含了经典功率谱估计和自适应均衡算法两个实验的所有程序。 2、R.m、LMS.m、LMSmain.m为自适应均衡算法的程序: R.m用来计算输入信号的自相关矩阵及其特征值; LMS.m为时域LMS算法,用统计的方法仿真得出不同信道参数和不同步长下的学习曲线; LMSmain.m为实验主程序,按照实验要求中的具体数据得到实验结果和曲线。 3、functionx.m、fzhouqitu.m、spectrum.m、bt.m、bart_lett.m、welch.m、SPECTRUMmain.m为经典谱估计的程序: functionx.m产生需要进行谱估计的函数; fzhouqitu.m用来计算信号周期图的函数; spectrum.m是用周期图法进行谱估计的函数 bt.m是用BT图法进行谱估计的函数 bart_lett.m是用BARTLETT法进行谱估计的函数 welch.m是用WELCH法进行谱估计的函数 SPECTRUMmain.m是主程序,按照实验要求中的具体数据得到实验结果和曲线。 -a document folder contains the classic power spectrum estimation and adaptive equalization algorithm for the two experiments all the procedures. 2, R.m, LMS.m, LMSmain.m adaptive equalization algorithm for the procedure : R.m used to calculate the input signal and the correlation matrix eigenvalue; LMS.m too LMS algorithm, use statistical simulation method come to a different channel parameters and the synchronous learning curve; LMSmain.m main program for the experiment, according to the experimental requirements of the specific data and the curve of the experimental results. 3, functionx.m, fzhouqitu.m, spectrum.m. bt.m, bart_lett.m, welch.m. SPECTRUMmain.m classical spectrum estimation procedures : functionx.m have a need for spectrum estimation function; fzhouqitu.m used to calculate t
Platform: | Size: 5120 | Author: | Hits:
« 1 2 ... 4 5 6 7 8 910 11 12 13 14 ... 50 »

CodeBus www.codebus.net