搜索资源列表
Power-spectrum
- 这篇文章主要介绍了求功率谱的五种方法（周期法、自相关函数法、自协方差法、最大熵法以及最大似然法）的思想及程序。-This article describes five ways to seek the power spectrum (cycle method, the autocorrelation function method, ideas and procedures from the covariance method, maximum entropy and maximum likel
Split-Covariance-Intersection-Fusion
- 用于分布式数据融合时，两局部估计部分相关时的协方差交叉融合算法，称为分离协方差交叉融合算法。-For distributed data fusion, two local estimated covariance in part related to cross-integration algorithm, called the separation of covariance cross-fusion algorithm.
center_freq
- 现代谱估计中用修正协方差的方法估计中心频率中心频率用功率谱估计 -Center frequency in power spectrum estimation
convariance
- 能够计算出一个图像矩阵的灰度梯度共生矩阵，并计算出其协方差-To calculate an image matrix of gray gradient co-occurrence matrix, and calculate the covariance
MIMORadarDOAEstimation
- MIMO雷达模型下一种子空间谱估计方法，采用过估计的方法，以避免信源数估计的问题，直接对数据协方差矩阵进行变换，从而构造了信号子空间投影矩阵和噪声子空间投影矩阵，不需要像经典的MUSIC一样对其进行特征分解，完全避开了在一般非理想情况下MUSIC算法必须面对的识别小特征值与大特征值的麻烦，降低了复杂度，而且该方法不受快拍数的影响，在相干源情况下也能准确的估计目标的入射角，不会出现伪峰。-A subspace based DOA (Direction-Of-Arrival) estimation
tuxiangzengqiang
- 图像增强实验，，计算两幅图像大小，灰度平均值，灰度标准差，协方差，相关系数等-mage enhancement experiment
leaves-bass-algorithm
- 这是一个贝叶斯独立分量分析(ICA)算法的线性瞬时混合高斯噪声模型和添加剂。解决问题的是ML-II推论,即资源的整合在发现源后和噪声协方差矩阵和混合了最大化的边际似然。充分统计量的估计平均场或变分理论和线性响应修正或通过自适应平均场理论水龙头。平均场方程,解决了信仰传播法的或连续的迭代。-This is a bayesian independent component analysis (ICA) algorithm of instantaneous linear mixed gaussian
pca
- 基于matlab的PCA算法（协方差阵列）-Matlab PCA algorithm (Covariance array)
[Matlab]
- 主成分分析数据处理代码，包括协方差矩阵计算等-data product
DCCA
- 用matlab实现去趋势互相关分析的DCCA算法，将两组数据分析其协方差，最后得到DCCA指数，并进行T检验-DCCA algorithm using matlab detrended cross-correlation analysis, two sets of data to analyze the covariance last DCCA index, and T-test
lp
- 线性预测算法 输入：阶数p，快拍数据协方差矩阵R，观察范围内各方向导向矢量，三维矩阵phiyz。 输出：线性预测谱估计矩阵P。-Linear prediction algorithm Input: the order of p, snapshot data covariance matrix R, observe the direction in the range of steering vector, three-dimensional matrix phiyz. Outpu
adi_Covariance_Matrix
- adi公司的dsp器件TS201的汇编语言，关于求一个矩阵的协方差矩阵 Matrix[m*n]*Matrix[m*n] =Matrix[m*m] 算法-adi-dsp device TS201 assembly language, with regard to seeking a matrix of the covariance matrix Matrix [m* n]* Matrix [m* n] = the Matrix [m* m] algorithm
gonglvpuguji
- 关于现代功率谱估计的各种方法，自相关，协方差，burg，lms等-Various methods of modern power spectrum estimation, autocorrelation, covariance, burg, lms, etc.
kongjianpinghua
- music算法的空间平滑法程序，对协方差平滑后看到对相关信号的空间谱估计准确-music algorithm, spatial smoothing procedures, see the relevant signal space spectrum estimation accurate smoothed covariance
arma
- 运用matlab的m文件来求样本的自协方差，自相关函数-Seeking sample autocovariance and autocorrelation function
doa_music
- 阵列协方差矩阵的特征分解DOA估计算法，利用信号子空间与噪声子空间的正交特性-The array covariance matrix of the characteristic decomposition of the DOA estimation algorithm using the orthogonal properties of the signal subspace and noise subspace
jianjiepingcha
- 水准测量中间接平差以及观测精度的计算，本程序由c++编写，可以得到平差后未知点坐标，协方差阵，观测值改正数等等。-Leveling in indirect adjustment and the calculation of the observational accuracy of the program written by c++ unknown point coordinates can be adjustment, the covariance matrix of observation
puguji2007
- 谱估计 (1)修正协方差法 (2)多重信号分类（MUSIC）算法 (3)ESPRIT算法 (4)皮萨论科（Pisarenko）谐波分解法 并对各算法进行分析。 解压后即可在MATLAB上运行-Spectral estimation (1) modified covariance method (2) multiple signal classification (MUSIC) algorithm (3) ESPRIT algorithm (4) pizza on the Branch (Pisa
PCA
- PCA是研究如何通过少数几个主分量来解释多变量的方差- - 协方差结构, 是一种有效的特征提取方法- PCA studies how to explain the variance of multivariable- covariance structure through a few principal components and it is a kind of effective method of feature extraction
cwfac
- 利用matlab编程计算矩阵的协方差，对数学建模很有用-slove mathematics things