lt5m

MUSIC算法[1]是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。(MUSIC algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)

据挖掘算法是根据数据创建数据挖掘模型的一组试探法和计算。 为了创建模型，算法将首先分析您提供的数据，并查找特定类型的模式和趋势。算法使用此分析的结果来定义用于创建挖掘模型的最佳参数。然后，这些参数应用于整个数据集，以便提取可行模式和详细统计信息。(Data mining Detailed )

Calculate fundamental frequency

时间序列分析案例,十分希望对你们会有或多或少的帮助。(the analysis of time series )

说明：  用matlab实现巴特沃斯高通和低通滤波滤波，对图像进行相应的处理(Using matlab to achieve Butterworth high-pass and low-pass filtering filtering, the image corresponding treatment)

利用matlab编程进行单输入单输出控制系统的分析教程(Using matlab programming for the analysis of single-input single-output control system tutorial )

Applied numerical methods using MATLAB (Wiley,2005)

通过对采集的窑体温度和压强数据，绘制曲面图，通过曲面图分析窑体工况(Through the kiln temperature and pressure data collection, drawing surface plot, surface plot analysis by kiln conditions)

matlab code 使用dibr 產生虛擬圖，使用實裡面有 readme，code 裡有說明如何使用。(dibr Matlab code to generate the virtual image, the use of solid inside the readme code, there are instructions how to use.)

This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric imputation procedure for missing multivariate data.