FUNCAO

华中科技课程《控制系统的计算机仿真与实现》的MATLAB仿真程序（第一部分）(Huazhong Science and Technology Program control system computer simulation and realization of the MATLAB simulation program (Part I))

仿真了超宽带的PPM调制的发射链路，包含完整源码(Simulation of the PPM modulated UWB transmitter link, contains the full source code)

A simple and accurate face detection algorithm in complex background by Yu-Tang Pai, Shanq-Jang Ruan, Mon-Chau Shie, Yi-Chi Liu

利用sobel边缘检测算子实现图像边缘提取，方法简单(Edge detection using sobel operator of image edge extraction, simple)

阵列信号处理_空间谱估计原理的一些基本算法——MusicEspritMp(Array signal processing _ the principle of spatial spectrum estimation of some of the basic algorithm- MusicEspritMp)

说明：  基于matlab的编程，信道仿真的，很好很强大(Matlab-based programming, channel simulation, very good very strong)

F16开环动力学系统模型。输入为油门及三个舵面控制，以及系统低阶、高阶选择器。输出为飞机飞行状态以及油门大小。采用Quaternion四元素法，可以有效避免俯仰角theta达到90°时数学奇异现象。(F16 open-loop dynamic system model. Throttle input and three rudder control, and system low, high selector. Output is the size of aircraft status, and throttle. Quaternion method using the four elements, can effectively avoid the pitch angle theta to 90 °, mathematics strange phenomenon.)

基于灰色理论数据预测程序，GM11和 RM滚动训练结合的算法，RAM(Grey prediction program based on theoretical data, GM11 and RM rolling train bound algorithm, RAM)

说明：  一被控对象 ，给定为阶跃给定，幅值为500，设计一个两维模糊PI型控制器，输入语言变量和输出语言变量均取7个值{NB，NM，NS，ZE，PS，PM，PB}，模糊论域为{-6，-5，-4，-3，-2，-1，0，1，2，3，4，5，6}，用matlab编程仿真研究。(Charged with one object, to set at a given step, the amplitude for the 500, the design of a two-dimensional fuzzy PI-type controller, input linguistic variables and output linguistic variables are taken seven values (NB, NM, NS, ZE, PS , PM, PB), fuzzy domain for (-6,-5,-4,-3,-2,-1,0,1,2,3,4,5,6), Simulation programming with matlab .)

MUSIC算法[1] 是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。MUSIC算法就是利用这两个互补空间之间的正交特性来估计空间信号的方位。噪声子空间的所有向量被用来构造谱，所有空间方位谱中的峰值位置对应信号的来波方位。MUSIC算法大大提高了测向分辨率，同时适应于任意形状的天线阵列，但是原型MUSIC算法要求来波信号是不相干的。(algorithm MUSIC is a method based on matrix feature space decomposition. From a geometric point of view, the signal processing of the observation space can be decomposed into signal subspace and noise subspace, it is clear that these two spaces are orthogonal. Signal subspace by the array received data covariance matrix and signal corresponding to the feature vector and noise subspace is by the covariance matrix of all minimum feature values (noise variance) corresponding to the feature vectors are composed. MUSIC algorithm is to use the orthogonal characteristics of these two complementary space to estimate the azimuth of spatial signals. All vectors of the noise subspace are used to construct spectral, and the peak position in all spatial azimuth spectra correspond to the direction of arrival of the signal. MUSIC algorithm greatly improves the direction finding resolution, and at the same time it is suitable for the antenna array of any shape, but the prototype MUSIC algorithm requir)