TestSmgp

kalman滤波，扩展的kalman滤波（EKF），unscented Kalman filter（UKF），基于EKF和UKF混合模型的IMM实现，以及配套的Rauch-Tung-Striebel和two-filter平滑工具，一个很好用的框架(Kalman filtering, extended Kalman filtering (EKF), unscented Kalman filter (UKF), IMM implementation based on EKF and UKF hybrid models, and supporting Rauch-Tung-Striebel and two-filter smoothing tools, a very useful framework)

Analysis of BLDC motor + Simulink + matlab

范数优化迭代学习代码，可以运行，效果非常好(norm-optimal iterative learning control)

说明：  用于LFM的分析与生成，可用于仿真雷达信号等(For analysing LFM,it can be used in radar signal and some places.)

系统辨识的作业，是自己写的，有需要的可以参考参考(System identification of the work is your own writing, there is a need that can refer to reference)

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. )

Markov Chain Monte Carlo

Comparison OF LEACH EAMMH SEP TEEN Protocols

System will automatically delete the directory of debug and release, so please do not put files on these two directory.

一个简单的多正弦窗的MATLAB程序，很适合初学者(A simple multi-sine window MATLAB program is suitable for beginners)