Matrix

matlab解线性方程组的源代码 function x=nagauss2(a,b,flag) ％ 用途：选列主元Gauss消去法解线性方程组ax=b ％ 格式：x=nagauss2(a,b,flag) a为系数矩阵，b为右端列向量，flag若为0，则显示中间过程 (Matlab solution of linear equations source code function nagauss2 x = (a , b, flag)% purposes : a selection PCA Gauss elimination method for solving linear equations ax = b% Format : nagauss2 x = (a, b, flag) for a coefficient matrix, b subguadratic column vector, if the flag is 0, then showed intermediate process)

matrix rotation (matlab code)

这个matlab程序能够实现裁剪图像感兴趣区域，适合初学的。(The matlab program to achieve crop the image regions of interest for beginners.)

matlab的元胞自动机程序的源代码,胞自动机程序状态演化规则 ①如果一个元胞的状态是0,则当它有状态为1的邻元时,该元胞的状态以概率a×b变为1,并且当它的临域中状态为1的邻元越多,其状态转变为1的概率越大 ②如果一个元胞的状态是1,则该元胞的状态保持不变。初始传播者位于中心单元格25×25处 取50×50的网格，临域为Moore型，经过50个仿真时钟,知识传播结果的模拟图 (matlab Cellular Automata procedure source code, cellular automata evolution rules of procedure state ① If a cell' s state is 0, then when it has a status of one element of the neighborhood, the cellular state to the probability of a × b into one, and when it' s Pro domain status is one more element of the neighborhood, its status into a greater probability of 1 ② If a cell' s state is 1, the cellular status remains unchanged. Initial spreaders center cell 25 × 25 obtain 50 × 50 grid, the Pro domain for the Moore-type, after 50 simulation clock, the dissemination of knowledge of the simulation results of Figure)

产生伪随机M序列，作为系统输入，可以改变级数(create M order number)

DTFT plot the spectrum of a sinusoidal signal

matlab basics tutorial

基于RSSI的质心算法，其中可以实现目标的定位。有用者请下载。(Based on RSSI centroid algorithm, which can achieve the target localization. Useful, please download.)

基于L型线阵的信号频率，方位角，俯仰角联合估计，采用MUSIC(Based on the L-linear array of signal frequency, azimuth, pitch angle joint estimation using MUSIC)

群聚分析技術群聚分析原理群聚分析技術群聚分析原理群聚分析技術群聚分析原理群聚分析技術群聚分析原理群聚分析技術群聚分析原理(Cluster analysis cluster analysis cluster analysis cluster analysis principle principle principle of cluster analysis cluster analysis cluster analysis cluster analysis cluster analysis principles principles of cluster analysis techniques)