state10

能够对所俩种采集的数据，把他们精确的区分开(Can to two of the data collected, and their precise separate)

这是多个matlab源程序，主要功能是灰度图像和二值图像进行腐蚀和膨胀；dwt水印程序，猫脸变换程序。(This is a matlab source, the main function is to grayscale and binary image erosion and dilation)

elm matlab code for research

说明：  hata模型的仿镇 输入命令hata_simulate即可(Joey model replica of the town can enter the command hata_simulate)

用于优化PID三个参数的粒子群程序代码，简便实用。(Used to optimize the three parameters of the PID particle swarm code, simple and practical.)

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. )

自己编写的基于nlms的回波消除算法，直接能运行(I have written based nlms echo cancellation algorithm can be run directly)

根据观测矢量，计算载体的三位姿态，这里选择的方法为经典的triad 方法。精度有限，但是简单实用(the determination of objuect attitude)

电动汽车燃料电池simulink仿真模型，用于电动汽车或者混合动力汽车的仿真模型(Simulink simulation model of the electric vehicles fuel cells for electric vehicle or hybrid vehicle simulation model)

该文件里面包含了三个AdaBoost算法，使用非常方便(The document which contains three AdaBoost algorithm, is very convenient to use)