搜索资源列表
CPP-commonly-used-algorithm
- C++常用数据集，包括“求赫申伯格矩阵全部特征值的QR方法”、"求解复系数方程组的全选主元高斯\|约当消去法"等。-C++ commonly used data sets, including " seeking Hoeschen Berg matrix QR method all eigenvalues" , " solving equations with complex coefficients Select PCA Gaussian \ | Jordan elim
Gist
- Gist。 使用直方图的方式提取特征值里面有demo，修改一下可以直接使用，提取特征向量，使用机器学的方法来分类识别- Use the histogram to extract eigenvalues inside demo, change it can be directly used to extract feature vectors, using machine learning approach to classification
eigenValues-and-eigenVector
- 各种矩阵特征值与特征向量的计算算法，包括雅克比、QR等-Various matrix eigenvalue and eigenvector calculation algorithms, including Jacobi, QR, etc.
Stationary_Series1_AR1
- 演示AR序列的特征值、自协方差函数和谱密度。程序是开放的，可以修改参数-Eigenvalues demo AR sequence autocovariance function and spectral density. The program is open, you can modify the parameters
Stationary_Series2_MA
- 演示MA序列的特征值、自协方差函数和谱密度。程序是开放的，可以修改参数-MA eigenvalues demo sequence, since covariance function and spectral density. The program is open, you can modify the parameters
si-band
- 这个程序可以计算硅的能带结构，里面包涵了求解本征函数，本征值，和本征态的代码-The program code can calculate the band structure of silicon, which bear solving eigenfunctions, eigenvalues and eigenstates
renlianhsib
- PCA 人脸识别修订版，识别率88％ 获取特征值及特征向量 word 可以参考 学习-PCA face recognition revision, the recognition rate of 88 Get the eigenvalues and eigenvectors word can refer to learning
CORDIC_Algorithms_and_architectures
- Digital signal processing (DSP) algorithms exhibit an increasing need for the e#cient implementation of complex arithmetic operations. The computation of trigonometric functions, coordinate transformations or rotations of complex valued phasors
PCA
- (主成分分析)Jacobi法求解对称矩阵的特征值及特征向量-(PCA)Finding the eigenvalues and eigenvectors of symmetric matrices, applying Jacobi s method
JADEalgorithm
- 为了实现DOA和时延的联合估计,提出了一个无线通信中高分辨率的联合角度和时延估计方法,该方法不需要对参数进行搜索,利用空时矩阵的特征向量和特征值分别估计DOA和时延,通过特征值和特征向量的对应关系,估计的参数可以自动实现配对, 只要各路径信号的DOA和时延不同时接近此方法都可以适用,与JADE-MUSIC,JADE-ESPRIT和SI-JADE算法相比,该算法具有较好的鲁棒性和较小的估计误差。仿真结果证明了该算法的有效性。 -In order to achieve the joint est
xiaobobaochengxu
- 小波包降噪、提取能量特征值，用于振动信号处理、故障诊断等。里面有经典的例子，供大家学习-Extract the energy eigenvalues for vibration, wavelet packet de-noising, signal processing, fault diagnosis. There are classic examples, for everyone to learn
matrixEigenvalue
- 线性拟合的方法进行矩阵的特征值计算估计，代码内部可以设置估计参数。 -Linear fitting method to calculate the eigenvalues of the matrix estimation, estimation parameters can be set inside the code.
Clustering
- In multivariate statistics and the clustering of data, spectral clustering[1] techniques make use of the spectrum (eigenvalues) of the similarity matrix of the data to perform dimensionality reduction before clustering in fewer dimensions. The simila
parallel-algorithms-of-QR-and-yakebi
- 求普通矩阵和对称矩阵的特征值的串行算法的并行实现。-Parallel eigenvalues of symmetric matrices ordinary matrix and serial algorithm.
huidugongshengjuzhen
- 提取图像灰度共生矩阵的四个特征值能量，相关性，熵-Extract images GLCM four energy eigenvalues, correlation, entropy, etc.
QR
- 用变形QR方法计算实对称三对角阵的全部特征值与相应的向量-Real symmetric tridiagonal matrix deformation QR method with all the eigenvalues and the corresponding vector
matlab
- 关于求矩阵的的特征值和特征向量的程序，定义两个函数，这个函数本来想定义成周期函数-Eigenvalues and eigenvectors of the program on the Matrix, defines two functions, this function had wanted to be defined as a periodic function
12
- 有关matlab在线性代数中的应用的详细介绍及具体的matlab代码实现，包括求向量组的最大线性无关组、向量组的线性相关性、求解线性方程组、使用 sym 函数直接创建符号矩阵、将数值矩阵转化为符号矩阵、符号矩阵的索引和修改、相似矩阵及二次型、求特征值和特征向量等。很适合初学者使用，及有关工程人员参考。-About matlab linear algebra applications detailed descr iption and the specific matlab code, inclu
Calculator
- Qt写的一个计算器，很不错。主要用到的算法有：后缀式表达式求值、部分选主元高斯消去法求阶梯矩阵,（非）线性方程组等、分段求大整数开方、初等相似变换及QR方法计算全部特征值、反幂法求最大特征值、遗传算法求复系数多项式所有根等。-Qt to write a calculator, very good. The main use of algorithm: the postfix expression evaluation, part of the pivoting Gauss elimination
FRACTIONAL_DIFFERINTEGRAL
- 通过傅里叶扩展计算的微分和积分函数，十分有用。-Descr iption The n-th order derivative or integral of a function defined in a given range [a,b] is calculated through Fourier series expansion, where n is any real number and not necessarily integer. The necessa