face

模拟退火算法的matlab程序，用于解决tsp问题，运行通过。(simulated annealing algorithm Matlab procedures for the settlement tsp, running through.)

BPSK程序，完成二进制调制过程，用于仿真，初步认识MATLAB仿真过程。(BPSK program, the completion of the binary modulation process for the simulation, an initial understanding of MATLAB simulation.)

异步电动机转子断条故障仿真实验的功率谱分析matlab程序，希望对大家有用(Asynchronous motor broken rotor bars simulation of the power spectrum analysis matlab program, I hope useful)

代码是一种数据挖掘算法，fuzzy-K-means，对数据进行分类(The code is a data mining algorithms, fuzzy-K-means, data classification)

用MATLAB计算Thue-Morse超晶格的光透射率(Calculated using MATLAB Thue-Morse superlattice light transmittance)

matlab插值算法interp2的改进，快速interp2插值(Fast 2-dimensional interpolation)

mov background subtraction

样本熵MATLAB程序，希望可以共享。 此程序可以计算脑电信号EEG的样本熵的值，可以作为脑电信号分析之用。(samples entropy MATLAB procedures in the hope that can be shared. This procedure can be calculated EEG EEG samples entropy value, as EEG analysis.)

function g=nonlineareq(x) Here is an example of nonlinear system that can be solved by using the Matlab command "fsolve" written in the file called "solution.m"

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. )