ASLC_ULA

各种窗函数的matlab仿真，包括三角窗，矩形窗，海明窗，汉宁窗等(matlab simulation of all kinds of window function)

a matlan simulation for wimax

说明：  在matlab下，运用矩量法计算长直导线电容，并分析电容随导线长度，半径，分段数的变化(In matlab, Compution of a long straight wire capacitance with MOM , and analysis of capacitance with the wire length, radius, segment number of changes)

15KV光伏SIMULINK模型，采用模糊控制进行控制。(15KV photovoltaic SIMULINK model is controlled by fuzzy control.)

MUSIC(Multiple Signal Classification)算法是Schmidt在1979年首先提出的，是早期经典的超分辨率DOA估计方法(即超瑞利限的方法)，属特征结构的子空间方法。(MUSIC (Multiple Signal Classification) algorithm is Schmidt first proposed in 1979, is an early classic super-resolution DOA estimation methods (ie, super-Rayleigh limit of the method), is a characteristic structure of the sub-space method.)

利用matlab软件，用m文件实现信号的psk调制解调。(Using matlab software, with the realization of m document psk modem signals.)

说明：  显示具体日期、多种整体风格还有多种日期格式(Show specific date, a variety of overall style, there are many date formats)

This is a MATLAB M-File for Dynamicprograming which is the base of programming for power stations and utilizations of power systems.This has been done for a typical graf and can be used in wide range of programming.

空间后方交汇求解相机外方位元素，变量如下 ％ x，y 控制点像点坐标 ％ X，Y，Z 控制点空间坐标 ％f焦距 ％X0，Y0，Z0，a，b，c六个外方位元素 ％x0，y0，-f内方位元素：光心坐标 ％cha，chb，chc：外方位角元素改正数 ％count 记录迭代次数 ％R 旋转矩阵 ％A 线性化的偏导系数矩阵 ％L 常数项矩阵 ％M0 外方位元素矩阵 ％M1 外方位元素改正数矩阵(meeting space for rear camera position outside elements, as follows% variable x, y control point pixel coordinates% X, Y, Z coordinates control room focal length f%% X0, Y0, Z0, a, b, c 6 exterior orientation elements% x0, y0,- f position within elements : Optical Center coordinates% cha, chb, chc : Foreign elements azimuth correction% record count the number of iterations rotation matrix R%% A linear partial derivative of the coefficient matrix% L constant Matrix% M0 Orientation% M1 matrix elements of exterior orientation correction matrix)

基于灰度共生矩阵的图像特征提取,包括熵、相关性、标准差及方差(Image feature extraction based on GLCM，including entropy, correlation, standard deviation and variance)