svpwm

采用bp神经网络对函数y=sin（x）进行训练，然后用测试集对训练的函数进行测试，也就是函数逼近sin（x)的曲线(Bp neural network using the function y = sin (x) for training, and then use the test set to test the training function, that is, function approximation sin (x) curve)

用于车辆参数最优选取，求取目标函数最大、最小值，对非线性、多峰问题均具有较强的全局搜索能力(It is used for the optimal selection of vehicle parameters, and the maximum and minimum values of the objective function are obtained. It has a strong global search ability for nonlinear and multimodal problems)

This code is related to the course Digital Communications. It simulates a communication system which uses AWGN and 16QAM

说明：  最优化算法中得拟牛顿法和共轭梯度法,以及Armijo型搜索和最优步长搜索。(Congradient and NiNewton algorithms in optimazation based on MATLAB)

说明：  在二维平面内生成随机点并构造二维Voronoi图(Construction of 2D Voronoi diagram with random points)

线性调频信号发生器，能够改变它的一些参数得到不同的线性调频信号，程序还是不错的(Linear FM signal generator, can change some of its parameters are different linear FM signal, the program is good)

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)

simulink的入门教程，老师上课讲的课件，较易懂，适用于初学者(simulink introductory tutorial, the teacher talked about class courseware, more easy to understand for beginners)

短时傅里叶变换仿真，步长不同时候的比较图形(STFT simulation)

本程序给出了两种通信调制方式的matlab代码，可以提供给大家参考(This procedure gives the two communication modulation of matlab code that can be provided for your reference)