doubleDOA

awesome very useful for basic concepts in matlab

比较有用的matlab源码，用于数据回归分析等。(Matlab more useful source for data regression analysis.)

信号的相关性是信号本身很重要的性质，本程序就是求随机信号的自相关性。(Signal is the relevance of the signal itself is very important properties, this procedure is for the random signals between autocorrelation. )

创建一个n维的稀疏数组对象，n是任意值。 定义N可能是大于2的一类n维稀疏阵列。然而，它应该被认为是一种起动方式与普通的MATLAB稀疏矩阵和重塑它有N维度。换句话说，稀疏的数据，首先必须能够作为一个普通的2D MATLAB稀疏矩阵被前n维。事实上，如果目标数组的尺寸mxnxp……yxz，然后将它存储在内部类是一个普通的二维稀疏阵列的尺寸（M×N×P×……×Y）XZ。这导致了某些内存株时使用大量的尺寸。我发现有用的类主要用于中等尺寸像三维图像边缘检测，你经常要举行一个稀疏的3D的边缘地图。(Creates an N-dimensional sparse array object, for arbitrary N.This submission defines a class of N-dimensional sparse arrays for N possibly greater than 2. However, it should really be thought of as a way of starting with an ordinary MATLAB sparse matrix and reshaping it to have N dimensions. In other words, the sparse data must first be able to exist as an ordinary 2D MATLAB sparse matrix before being made N-dimensional. In fact, if the intended array has dimensions MxNxP...YxZ, then the class will store it internally as an ordinary 2D sparse array of dimensions (M*N*P*...*Y)xZ. This leads to certain memory strains when using large numbers of dimensions. I find the class useful mainly for moderate dimensional things like edge detection in 3D imaging, where you often want to hold a sparse 3D edge map. )

learn Kalman smoother

异步电机的启动，本人亲自编写，并且经过自己的验证，绝对可信(Start asynchronous motors, I personally prepared, and after their verification, absolutely credible)

here the matlab code is used for simulation of fading channels and convolutional codes

说明：  对一个简单地系统，设计pid控制器使其控制它的稳定(For a simple system, a PID controller is designed to control its stability.)

matlab从入门到高级进阶的必备好书，看了以后，希望对大家学习matlab有很高的提高！()

《Sparse and Redundant Representations：From Theory to Applications in Signal and Image Processing》Michael Elad的电子书，讲稀疏表示及其应用(《Sparse and Redundant Representations：From Theory to Applications in Signal and Image Processing》Michael Elad )