搜索资源列表
gal_cir
- 信源数估计，输入为信号协方差矩阵，输出为信源估计数，用户可根据快拍数自行添加调整因子。-The number of source estimates, the input signal covariance matrix, the output of the source estimates, the user can automatically adjust the number of snapshots added adjustment factor.
test1
- 信号的FFT变换、经典功率谱分析和现代功率谱分析，周期图法、尤利沃克方法、burg方法、协方差和改进协方差方法-Signal FFT transform, the classic power spectrum analysis and modern power spectrum analysis and periodogram method, method of Julius walker, burg, covariance and the covariance improvement meth
covcalculator
- 局部Log.Euclidean协方差矩阵描述子 L2ECM SPD矩阵的空间并不是一个向量空间,而是一个黎曼流形。因此,传统 欧氏空间内的运算 例如欧氏距离、均值-Local Log-Euclidean Covariance Matrix (L2ECM) Local Log-Euclidean Covariance Matrix (L2ECM) to represent neighboring image properties by capturing cor- relation of vari
covs
- 局部Log.Euclidean协方差矩阵描述子 L2ECM SPD矩阵的空间并不是一个向量空间,而是一个黎曼流形。因此,传统 欧氏空间内的运算 例如欧氏距离、均值- Local Log-Euclidean Covariance Matrix (L2ECM) to represent neighboring image properties by capturing cor- relation of various image
PCANoiseLevelEstimator
- 盲噪声估计出现在许多图像处理应用的问题，如去噪、COM压缩、分割。在本文中，我们提出了一种新的噪声电平估计方法的基础上的主成分分析的图像块。我们表明，噪声方差可以估计为图像块协方差矩阵的最小特征值。与现有的13种方法相比，所提出的方法显示了良好的速度和精度之间的妥协。这是至少15倍的速度比类似的精度的方法，它是至少两倍的精度比其他方法。我们的方法不假定存在均匀区域的输入图像，因此，可以成功地处理图像只包含纹理。-The problem of blind noise level estimatio
hybrid-pol-simulate
- 用全极化的相干矩阵和协方差矩阵，模拟简缩极化的协方差矩阵和Stokes参数-By coherent matrix and covariance matrix fully polarized, polarized analog abbreviated covariance matrix and the Stokes parameters
Main
- 朴素贝叶斯算法的代码实现，能够实现对数据的自相关，互协方差等统计方面特征的数学分析-Code naive Bayes algorithm implementation can be achieved for autocorrelation of the data, mathematical analysis statistical characteristics of the cross-covariance, etc.
demo_gpr
- 用于高斯过程一维建模，能根据不同的协方差函数得到不同的高斯过程回归模型-For the one-dimensional modeling of the Gaussian process, different Gaussian process regression models can be obtained according to different covariance functions
covPeriodic
- 这个是高斯过程建模中的周期性协方差函数的MATLAB程序源代码-This is the Gaussian process modeling in the periodic covariance function MATLAB program source code
covProd
- 这个主要用于高斯过程建模中两个简单的协方差函数的相乘运算，得到一个新的协方差函数-This is mainly used for the multiplication of two simple covariance functions in the Gaussian process modeling to obtain a new covariance function
2013302590104_002
- 模式识别bayes分类的三类协方差VC++程序- U6A21 u5F0F u8BC6 u522Bbayes u5206 u7C7B u7684 u4E09 u7C7B u534F u65B9 u5DEEVC++ u7A0B u5E8F
001
- 模式识别bayes分类的二类协方差VC++程序-Pattern Recognition Bayes Classification of Three Kinds of Covariate VC++ Program
第四次
- 根据协方差的物理意义，计算中国的各个经济中心等(According to the physical meaning of covariance, each economic center of China is calculated)
guzhangzhenduan
- 功率谱、协方差、时频分析、适用于各种故障诊断信号，具有参考价值(Power spectrum, covariance, time-frequency analysis, suitable for all kinds of fault diagnosis signal, have reference value)
R
- 1、根据财务因子选择10只股票，具体财务因子不限；2、运用投资组合理论建立投资组合，计算出每只股票的权重（协方差、相关系数）；3、将构建的投资组合收益率与指数对比，计算看是否存在超阿尔法收益；4、将构建的投资组合收益率序列建立模型（ARMA、GARCH等），并预测未来一周、一月的收益率；(1, according to the financial factor selection of 10 stocks, the specific financial factor is not limited
sigma点的代码
- 基于分割的局部Sigma语义特征点，是对场景中的语义目标进行建模。先在传统的图像分割基础上，分割出场景的前景目标，再结合像素位置、颜色、Gabor特征和LBP特征[构造出表征目标语义信息的协方差描述子，最后将其转换成欧式空间下的Sigma点特征，适用于标准SVM的场景学习和分类。(The segmentation based local Sigma semantic feature points are modeling the semantic objects in the scene. In
51黑论坛_卡尔曼滤波输出姿态角
- 卡尔曼滤波，extern KalmanGain;// 卡尔曼增益 extern EstimateCovariance;//估计协方差 extern MeasureCovariance;//测量协方差 extern EstimateValue;//估计值 extern void KalmanFilterInit(void); extern KalmanFilter( Measure);(extern KalmanGain; extern EstimateCo
2.ESPRIT 算法MATLAB程序
- ESPRIT算法用于估计阵列信号，处理阵列信号的协方差估计问题(MATLAB is used to develop the system model of array signal processing, such as the correlated signals, the error of amplitude and phase.)
3.Root-MUSIC算法MATLAB程序
- ROOT_MUSIC算法用于处理阵列信号，获得协方差矩阵(MATLAB is used to develop the system model of array signal processing, such as the correlated signals, the error of amplitude and phase.)
4.面阵中二维角度估计
- 面阵中二维角算法用于处理阵列信号，估计阵列的协方差矩阵(MATLAB is used to develop the system model of array signal processing, such as the correlated signals, the error of amplitude and phase.)