epi1_3

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. )

MATLAB与ANSYS的接口程序，同时对简单门式框架的可靠度分析 (同时有ANSYS和MATLAB程序)(MATLAB and ANSYS interface program, and reliability analysis of simple portal frame)

filter design of the wavelet

inverter with RL load and given as a pulse width modulus (PWM) at all gates of the circuit.

用自定义函数和状态方程函数编写的齿轮系统SIMULINK仿真。(Self-defined functions and equations of state functions written in gear system with SIMULINK.)

说明：  微分进化算法，用于参数优化、寻找极值等，可自行加入其他约束条件和修改目标函数(Differential evolution algorithm for parameter optimization, search extreme, can free to add other constraints and modify the objective function)

直方图的仿真，直方图的仿真，直方图的仿真，直方图的仿真，(Histogram of the simulation, the simulation histograms, the histogram of the simulation, the simulation histograms,)

四轴飞行器Matlab仿真分析，涉及四轴飞行器主要部件如Mottor，camera，电池等，分析包含稳定性、动力等 已通过测试。 (VRML simulation on the real life in a common environment (multimedia classroom), very often realistic image, the code is very long, but it is easier to understand. Has been tested.)

部分APG算法解决了核函数相关模式识别问题的例子，可加速迭代进程，减少运算时间.(An Accelerated Proximal Gradient Algorithm for Nuclear Norm Regularized Least Squares problems)

里面是小波分析的实现方法，还有数学介绍。数字信号处理上机实验答案(第三版).docx的电子版(There is a wavelet analysis method, as well as mathematical description. Digital signal processing on the experimental answer (third edition). Electronic version of docx)