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逐步法线性回归 C#源码（vs2005工程），得到回归系数、复相关系数、相关系数矩阵等。-Stepwise linear regression C# source code (vs2005 project), the regression coefficient, multiple correlation coefficient, correlation coefficient matrix.
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通过这些能够熟练掌握MATLAB中特征值来计算相关函数，而且能通过编程实现多种矩阵特征值运算的算法。-Through these can master Eigenvalue MATLAB to calculate the correlation function, and can achieve a variety of programming matrix eigenvalue computing algorithms.
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The angles in degrees of the two spatially propagating signals
Compute the array response vectors of the two signals
Compute the true covariance matrix
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宽带聚焦的目的是通过一个聚焦变换矩阵，使得对应于不同频段的数据变换成同一个中心频率的数据，从而形成相关矩阵。这里的关键就在于聚焦矩阵的选取，不同的选择对应于不同的算法。-Focus on the purpose of broadband are focused through a transformation matrix which corresponds to a different band with the data converted into a center frequency o
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QR分解SMI算法的目的正是要避免直接来解线性方程，而是将自相关矩阵分解，并利用Givens旋转实现数据矩阵的QR分解，最终将权矢量的求解问题转化为三角线性方程组的求解问题。-QR decomposition SMI algorithm, whose objective it is to avoid directly to solution of linear equations, but will auto-correlation matrix decomposition, and the u
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Doolittle法求解任意阶的方程，运用系数矩阵的分解两个相关矩阵，再求解两个三角矩阵方程。-Doolittle method to solve the equations of arbitrary order, using both the decomposition of coefficient matrix correlation matrix, and then solving two triangular matrix equation.
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求一个复正弦加白噪声随机过程的信号：
xn=exp(j*pi*n-j*pi)+exp(j*w0*n-j*0.7*pi)+v v(n)为零均值白噪声。S/N=10dB。取P=3，构造4阶的自相关矩阵R的基于MUSIC算法的功率谱估计的MATLAB程序-For a complex sinusoid plus white noise of the signal random process: xn = exp (j* pi* nj* pi)+ exp (j* w0* nj* 0.7* pi)+ v
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很好用的ICA算法，用于盲分离算法，MATLAB代码，-about ICA Using second-order statistics (different time-delay correlation matrix) of non-stationary and structural characteristics of the signal timing can roughly
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进行等时延分段，并对等间隔段的两个时延矩阵分别求取均值，采用类似联合近似对角化，估计出最优化的酉矩阵，-ing second-order statistics (different time-delay correlation matrix) of non-stationary and structural characteristics of the signal timing can roughly estimate that the instantaneous linear mixture
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方便矩阵分解运用，可以去掉矩阵相关性，方便gps模糊度快速解算-Facilitate the use of matrix decomposition, correlation matrix can be removed to facilitate rapid ambiguity gps calculation
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Smooth-Music ，Direction of Arrival Estimation
In a communication situation, assuming flat fading,there may be multipath components from many directions. These components would be correlated with each other. Correlated components reduce the rank of
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矩阵的相关操作：
矩阵赋值，输出，矩阵的相加，得到矩阵中的某行某列等等。-Correlation matrix operations: matrix assignment, output, matrix add, get in a matrix of a column in a row and so on.
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能求出关联矩阵、所有的树，并可选定每一条树，求的的其相应的回路矩阵Qf，及割集矩阵Bf-To find the correlation matrix, all the trees, each tree can be selected, find the circuit of its corresponding matrix Qf, and cut-set matrix Bf
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输入关联矩阵F及节点个数n得到近似覆盖顶点，只是这种近似算法结果很差-Input correlation matrix F and the node n be the number of vertex cover approximation, only the results of such poor approximation algorithm
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功能描述：用matlab语言实现Levinson-Durbin算法
函数名：Levinson_Durbin_Algo
输入参数：
(1)R:自相关矩阵或者其估计值
(2)P:AR模型的阶数
输出参数：
(1)A:p阶AR模型的参数,它是一个长度为P+1的行向量
(2)E:噪声功率
调用函数：无
被调用：L_D_sim.m
作者：mingcheng
编写时间：2009-11-13
修改时间：2009-11-1
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在分析最小均方自适应滤波器(LMSAF)均方误差(MSE)的收敛性时，文献常用统计自相关矩阵代替瞬时自相关矩阵以简化分析，由此得出的收敛条件比较粗糙。本程序指出：不相关高斯输入情况下，无需如上简化，可依据高斯阶矩因式分解定理得到确切的MSE收敛条件，相应的失调表式能更准确地预报失调-In the analysis of LMS adaptive filter (LMSAF) the mean square error (MSE) convergence, the literature commo
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通过寻找Z变换矩阵，对给定矩阵进行降相关运算。相关专业的朋友懂的。-By finding the transformation matrix Z, given the lower correlation matrix operations. Relevant professional friends understand.
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维纳噪声抑制，1、 实验原理是利用信号之间的相关性进行信号估计，从而将噪声滤除；
2、 辅助观测信号的噪声抑制可利用Wiener-Hopf方程 求出维纳滤波器的系数 ，式中 是 的自相关阵， 是输入信号 和滤波器输入 之间的互相关矢量；
-Wiener noise suppression, 1, experiment is the use of the correlation between the signals for signal estimation, which will fi
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简单写的一些图像预处理（灰度增强、小波高通滤波、LBP、迭代阈值分割、种子生长法etc）和RGB 、纹理（相关矩阵）特征提取-Write some simple image pre-processing (grayscale enhancement, wavelet high-pass filter, LBP, iterative threshold segmentation, seed growth method etc) and RGB, texture (correlation matri
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信号处理输入相关矩阵的创建程序以及傅里叶变换-Signal processing procedures for the creation of the input correlation matrix and Fourier transform
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