Description: 矩阵的转置、行列式、秩，逆矩阵求法，矩阵的三角分解、qr分解，对称正定矩阵的乔里斯基分解及行列式值，奇异值分解，广义逆的奇异值分解，矩阵特征值与特征向量的各种计算方法-all kinds of computational method of transposition of matrix, determinant, rank, inverse of matrix,triangle decomposition, qr decomposition, cholesky decomposition and determinant value based on symmetry positive definite matrix, decomposition of singular value, decomposition of generalized inversal singular value, eigenvalue and eigenvector Platform: |
Size: 83488 |
Author:球球 |
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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: 23585 |
Author:戚颖杰 |
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Description: ％ COMPDIR Computes a search direction in a subspace defined by Z.
％ Helper function for NLCONST.
％ Returns Newton direction if possible.
％ Returns random direction if gradient is small.
％ Otherwise, returns steepest descent direction.
％ If the steepest descent direction is small it computes a negative
％ curvature direction based on the most negative eigenvalue.
％ For singular matrices, returns steepest descent even if small. Platform: |
Size: 1611 |
Author:张风 |
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Description: 包括使用修正Gram-Schmit算法实现QR分解，自编LU分解、利用幂法和反幂法计算矩阵最大和最小特征值的程序。例外附有使用这些算法的例子供参考。 QR decomposition algorithm based on modified Gram-Schmit LU decomposition algorithm algorithm used to find maximum and minimum eigenvalue based on power and inverse power method and some examples are also included. Platform: |
Size: 4803 |
Author:gogomx |
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Description: 矩阵的转置、行列式、秩，逆矩阵求法，矩阵的三角分解、qr分解，对称正定矩阵的乔里斯基分解及行列式值，奇异值分解，广义逆的奇异值分解，矩阵特征值与特征向量的各种计算方法-all kinds of computational method of transposition of matrix, determinant, rank, inverse of matrix,triangle decomposition, qr decomposition, cholesky decomposition and determinant value based on symmetry positive definite matrix, decomposition of singular value, decomposition of generalized inversal singular value, eigenvalue and eigenvector Platform: |
Size: 82944 |
Author:球球 |
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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:
Description: ％ COMPDIR Computes a search direction in a subspace defined by Z.
％ Helper function for NLCONST.
％ Returns Newton direction if possible.
％ Returns random direction if gradient is small.
％ Otherwise, returns steepest descent direction.
％ If the steepest descent direction is small it computes a negative
％ curvature direction based on the most negative eigenvalue.
％ For singular matrices, returns steepest descent even if small.- COMPDIR Computes a search direction in a subspace defined by Z. Helper function for NLCONST. Returns Newton direction if possible. Returns random direction if gradient is small. Otherwise, returns steepest descent direction. If the steepest descent direction is small it computes a negative curvature direction based on the most negative eigenvalue. For singular matrices, returns steepest descent even if small. Platform: |
Size: 1024 |
Author:张风 |
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Description: 何振亚的现代谱估计.本书全面系统地论述了现代谱估计技术中的各种理论与方法。全书共九章，内容包括；纯连续谱沽计的AR与ARMA模型参量法、纯离散谱与混合谱估汁的正弦组合与阻尼复指数模型参量法、非参量法谱估计的最小方差法与奇异值/特征值分解处理法、应用信息论的墒谱估汁法、多谱(高阶谱)估计、二维潜估计与多维阵列谱估计。本书取材广泛，内容新颖，理论联系实际，系统性强。
-He Zhenya Modern spectral estimation. This book comprehensively and systematically discusses the modern spectral estimation techniques in a variety of theories and methods. Book a total of nine chapters, including pure continuous spectrum of sell ARMA model with AR parameter method, pure discrete spectrum and mixed spectrum estimation of sinusoidal juice combination of complex exponential model with the damping parameter method, non-parameter method of minimum variance spectral estimation method with the singular value/eigenvalue decomposition treatment method, the application of information theory the entropy spectrum estimation juice method, multi-spectral (HOS) estimates that two-dimensional latent estimation and multi-dimensional spectral estimation array. The book based on a wide range of content of a novel theory with practice, systemic strong. Platform: |
Size: 6134784 |
Author:songzy41 |
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Description: LAPACK++ (Linear Algebra PACKage in C++) is a software library for numerical linear algebra that solves systems of linear equations and eigenvalue problems on high performance computer architectures Platform: |
Size: 571392 |
Author:liuyupeng |
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Description: 包括使用修正Gram-Schmit算法实现QR分解，自编LU分解、利用幂法和反幂法计算矩阵最大和最小特征值的程序。例外附有使用这些算法的例子供参考。 QR decomposition algorithm based on modified Gram-Schmit LU decomposition algorithm algorithm used to find maximum and minimum eigenvalue based on power and inverse power method and some examples are also included.-Including the use of Gram-Schmit amended QR decomposition algorithm, self-LU decomposition, the use of power law and inverse power method to calculate maximum and minimum matrix eigenvalue procedures. With the exception of the examples of the use of these algorithms for reference. QR decomposition algorithm based on modified Gram-Schmit LU decomposition algorithm algorithm used to find maximum and minimum eigenvalue based on power and inverse power method and some examples are also included. Platform: |
Size: 4096 |
Author:gogomx |
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Description: 在对矩阵进行拟上三角化的基础上利用带双步位移的QR分解法求解矩阵的特征值-To be in the upper triangular matrix based on the use of dual-band step-by-step displacement of QR decomposition method for solving matrix eigenvalue Platform: |
Size: 2048 |
Author:李少林 |
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Description: 基于广义特征值和核函数的非线性盲分离算法.pdf-Based on the generalized eigenvalue and nuclear function algorithm for nonlinear blind source separation. Pdf Platform: |
Size: 174080 |
Author:aa |
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Description: the paper I uploaded was submitted in my DSP2 class. The paper discusses the results of the simulation based on the paper of Zatman on "How Narrow is Narrowband?" It investigates the second eigenvalue parameter of the received signal that determines its "narrowbandness". Zatman explains that once the second eigenvalue of the signal autocorrelation matrix rises above the noise floor, the signal BW becomes non-zero.-the paper I uploaded was submitted in my DSP2 class. The paper discusses the results of the simulation based on the paper of Zatman on "How Narrow is Narrowband?" It investigates the second eigenvalue parameter of the received signal that determines its "narrowbandness". Zatman explains that once the second eigenvalue of the signal autocorrelation matrix rises above the noise floor, the signal BW becomes non-zero. Platform: |
Size: 222208 |
Author:mocordel |
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Description: 本程序是根据jacobi过关法求实对称矩阵的全部特征值和特征向量-This procedure is based on realistic method jacobi clearance of all symmetric matrix eigenvalue and eigenvectors Platform: |
Size: 1024 |
Author:皮皮 |
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Description: 线性代数基本实现，各种基础的线性代数计算接口（加减乘除、求逆、求秩、最大线性无关组）以及矩阵的特征值特征向量的计算（QR方法）。含有设计文档。-The basic realization of linear algebra, and linear algebra calculation based interface (addition and subtraction multiplication and division, inverse, and rank, the largest group of linearly independent) and the eigenvalue matrix eigenvector calculation (QR method). Platform: |
Size: 293888 |
Author:李昂 |
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Description: 基于实值特征值分解的求根MUSIC算法Based on real eigenvalue decomposition algorithm for finding roots of MUSIC-Based on real eigenvalue decomposition algorithm for finding roots of MUSIC Platform: |
Size: 70656 |
Author:sofa102 |
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Description: 谱感知是认知无线网络中的一个重要功能,是实现其他功能的基础。研究了新型的基于特征值的感知算法,充分利用随机矩阵的渐近谱分布特性和特征值的收敛特性来设置判决门限,提高感知性能。理论分析和仿真结果均表明,新型算法性能明显优于典型的能量检测算法,克服了能量检测算法的噪声不确定性问题-Spectrum Sensing is an important function in the cognitive radio networks.A new eigenvalue-based detection scheme for spectrum sensing was studied,and decision thresholds were set to have good performance by using the property of asymptotic spectrum distribution and convergence of maximum eigenvalue of random matrices.Theoretical analysis and simulations results show that the new detection scheme can obviously outperform the classical energy detection,and overcome the noise uncertainty problem Platform: |
Size: 1029120 |
Author:曹蒙 |
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Description: 高等光学仿真中的程序代码，介绍了光纤的本征模以及激光原理，并以Matlab为基础仿真。-Advanced optical simulation program code, introduced the optical fiber the eigenvalue of the mode and laser principle, and based on Matlab simulation. Platform: |
Size: 45056 |
Author:宋秋艳 |
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Search - Eigenvalue-based