distributed

this is the code to calculate magical hilbert transform of a signal.

Alan variance method of Fiber Optic Gyroscope

matlab使用文本文件进行数据存取详细过程说明(matlab using a text file for data access detailed process description)

设有一个随机信号 服从AR(4)过程，它是一宽带过程，参数如下： 我们通过观测方程 来测量该信号， 是方差为1的高斯白噪声，用LMS算法和RLS算法通过观测方程来估计原信号。并用Matlab对此问题进行仿真。 (There is a random signal obedience AR (4) process, which is a broadband process parameters are as follows: We are measured by observing the signal equation is a Gaussian white noise variance, with the LMS algorithm and RLS algorithm to estimate the observation equation the original signal. This issue with Matlab simulation.)

这是一个三维图像显示的Matlab实例程序。支持DICOM MR CT PET等图像格式。 (This is an example of three-dimensional image display of the Matlab program. Support for DICOM MR CT PET and other image formats.)

MUSIC算法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 is a feature space based on matrix decomposition method. From the geometric point of view, the observed signal space can be decomposed into signal subspace and noise subspace, it is clear that two spaces are orthogonal. Signal subspace to the data received by the array covariance matrix and the eigenvector corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector corresponding to the composition )

matlab教程 拉格朗日插值，本程序使用matlab开发环境实现了数值方法的高斯插值内容，方便好用，将所需插值数据加入，即可实现高斯插值(Lagrange interpolation, the program uses matlab development environment to achieve a numerical method of Gaussian interpolation content, easy to use, add the required data interpolation, Gaussian interpolation can be realized)

说明：  空间计量 elhorst_model（带中文解释）(Spatial metrology elhorst_model (with Chinese interpretation))

simple simulink model of MSK

Atomizer is a package of Matlab routines for atomic decomposition of 1-d signals in various dictionaries. The atomic decomposition techniques include Basis Pursuit, the Method of Frames, the Best Orthogonal Basis method for wavelet packets/cosine packet dictionaries, and Matching Pursuit.