SinusoidalasymmetricPWMmodulatiobased3PhInverter

Apprentissage de la fonction sin(2x)

matlab反射波正演模拟，学姐编的小程序，欢迎交流(matlab reflected wave forward modeling, sister compiled a small program, please share)

基于CP的最大似然估计仿真图，两幅图，分别是符号定时偏差，以及频偏，从图中可以看出在符号定时估计最大处，相应的频偏估计值也是最接近的(CP-based maximum likelihood estimate simulation map, two maps, are a symbol timing offset, and frequency offset, it can be seen the figure in the symbol timing estimation is maximum, the corresponding value is also the closest frequency estimation)

% 单层感知器 与、或、以及其他逻辑功能的实现 % 采用step逐步逐行运行方式，了解学习过程的细节 % 尝试重新定义程序中的T，观察感知器实现异或运算(T=1 0 1 0]的可能性。(% Implementation of Single Layer Perceptron and, or, and Other Logic Functions % Use step-by-step operation to understand the details of the learning process % Trying to redefine T in the program, observing the possibility of XOR operation (T = 1010) implemented by the perceptron.)

实现matlab的牛顿法。牛顿法是非常有高效的，它是许多强大的数值方法的基础。(Matlab realize the Newton method. Newton method is very efficient, it is many a strong basis of numerical methods.)

一个较好的无刷直流电动的MATLAB的仿真模块，有图有真相，祝各位好运。(A better brushless DC electric MATLAB simulation module, there are pictures and the truth, and I wish you good luck.)

脉冲多普勒雷达发射和接收功能仿真mdl文件(doppler radar tran and rcv simutlation)

fig image fig tracker in put

最小生成树遍历反面的matlab代码，可以参考的，如果需要的话，可以下载啦(Minimum spanning tree traversal negative matlab code, you can refer to, if necessary, you can download it)

说明：  波达方向（DOA） 估计的基本问题就是确定同时处在空间某一区 域多个感兴趣的信号的空间位置(即多个信号到达阵列参考阵元的方 向角)。最早的也是最经典的超分辨率(DOA)估计算法是著名的多信号 分类（Multiple Signal Classification） 法,简称 MUSIC 算法,它是 一类经典的基于特征结构分析的空间谱估计方法。该算法利用了信号 子空间和噪声子空间的正交性,构造空间谱函数,通过谱峰搜索,检测 信号的 DOA。(The basic problem of DOA estimation is to determine the simultaneous location in a certain region of space. Spatial position of multiple interested signals in the domain (i.e. the direction of multiple signals reaching the array reference elements) Directional angle). The earliest and most classical super-resolution (DOA) estimation algorithm is the well-known multi-signal.Multiple Signal Classification, referred to as MUSIC algorithm, is A classical spatial spectrum estimation method based on eigenstructure analysis. The algorithm utilizes signals. The orthogonality of subspace and noise subspace, the construction of spatial spectral function, through peak search, detection DOA of signal.)